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Design and Evaluation of User-Centered Exergames for Patients With Multiple Sclerosis: Multilevel Usability and Feasibility Studies

Design and Evaluation of User-Centered Exergames for Patients With Multiple Sclerosis: Multilevel... Background: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. Patients with MS experience a wide range of physical and cognitive dysfunctions that affect their quality of life. A promising training approach that concurrently trains physical and cognitive functions is video game–based physical exercising (ie, exergaming). Previous studies have indicated that exergames have positive effects on balance and cognitive functions in patients with MS. However, there is still a need for specific, user-centered exergames that function as a motivating and effective therapy tool for patients with MS and studies investigating their usability and feasibility. Objective: The aim of this interdisciplinary research project is to develop usable and feasible user-centered exergames for the pressure-sensitive plate Dividat Senso by incorporating theoretical backgrounds from movement sciences, neuropsychology, and game research as well as participatory design processes. Methods: Focus groups (patients and therapists) were set up to define the user-centered design process. This was followed by the field testing of newly developed exergame concepts. Two sequential usability and feasibility studies were conducted on patients with MS. The first study included a single exergaming session followed by measurements. Between the first and second studies, prototypes were iterated based on the findings. The second study ran for 4 weeks (1-2 trainings per week), and measurements were taken before and after the intervention. For each study, participants answered the System Usability Scale (SUS; 10 items; 5-point Likert Scale; score range 0-100) and interview questions. In the second study, participants answered game experience–related questionnaires (Flow Short Scale [FSS]: 13 items; 7-point Likert Scale; score range 1-7; Game Flow questionnaire: 17 items; 6-point Likert Scale; score range 1-6). Mixed methods were used to analyze the quantitative and qualitative data. Results: In the first study (N=16), usability was acceptable, with a median SUS score of 71.3 (IQR 58.8-80.0). In the second study (N=25), the median SUS scores were 89.7 (IQR 78.8-95.0; before) and 82.5 (IQR 77.5-90.0; after), and thus, a significant decrease was observed after training (z=−2.077; P=.04; r=0.42). Moreover, high values were observed for the overall FSS (pre: median 5.9, IQR 4.6-6.4; post: median 5.8, IQR 5.4-6.2) and overall Game Flow Questionnaire (pre: median 5.0, IQR 4.7-5.3; post: median 5.1, IQR 4.9-5.3). A significant decrease was observed in the item perceived importance (FSS: z=−2.118; P=.03; r=0.42). Interviews revealed that user-centered exergames were usable, well accepted, and enjoyable. Points of reference were identified for future research and development. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 1 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Conclusions: The project revealed that the newly developed, user-centered exergames were usable and feasible for patients with MS. Furthermore, exergame elements should be considered in the development phase of user-centered exergames (for patients with MS). Future studies are needed to provide indications about the efficacy of user-centered exergames for patients with MS. (JMIR Serious Games 2021;9(2):e22826) doi: 10.2196/22826 KEYWORDS multiple sclerosis; exergame; motor; physical; cognition; usability; feasibility provides audio-visual feedback. In this way, commercially Introduction available exergames (eg, Nintendo Wii, Sony Move, or Microsoft Kinect) have successfully turned living rooms into Background playful training settings for approximately 10 years [28,29]. Globally, approximately 2.3 million people have multiple Apart from the entertainment market, video game–based training sclerosis (MS) [1]. MS is an immune-mediated chronic and therapy applications have also established themselves in inflammatory disease in which focal inflammation causes the the fitness and rehabilitation industry (eg, game-based, degradation of myelin in the nerve fibers of the central nervous robot-assisted movement therapy [30,31]; virtually augmented system (CNS), resulting in a wide range of symptoms and climbing [32]; or exergame fitness training [29,33,34]). Besides impairments [2-4]. Depending on the affected CNS regions and the various beneficial effects of exergaming [35-37], the the degree of severity, patients with MS can have physical physical-cognitive interaction of exergames seems to trigger an disabilities (eg, motor weakness, spasticity, sensory alternating brain-body communication. Depending on the video disturbances, ataxia, and visual loss), cognitive dysfunction (eg, game stimuli and the body-controller interaction, different information processing, attention, executive functions, and cognitive and physical functions can be trained, which makes memory), and fatigue [5-7]. Symptoms and disabilities affect exergames a promising tool in MS therapy. quality of life by increasing the risk of falls, mobility In recent years, researchers have started to evaluate exergames restrictions, and social isolation [5,6,8-14]. Moreover, patients as a rehabilitation tool for patients with MS. Exergames proved with MS are often physically inactive or have a sedentary to be an acceptable, feasible, safe, enjoyable, challenging, and lifestyle as a consequence of the abovementioned symptoms self-motivating tool [38-40]. Kramer et al [41] concluded that and disabilities, initiating a vicious circle of deconditioning and the integration of exergames seemed to have a positive effect worsening of symptoms [15,16]. MS is commonly diagnosed on training adherence and therefore could support the efficacy in young adults between 20 and 40 years of age and thus affects of long-term rehabilitation. Video game–based exercises, the early stages of their working lives [5]. All these factors lead especially Nintendo Wii Fit, seem to improve static and dynamic to an increase in social and health care costs [17,18]. Therefore, balance as well as gait performance in patients with MS [41-44]. there is a huge socioeconomic need to stabilize and counteract Intriguingly, these exercises led to improvements in the myelin physical disabilities and cognitive dysfunctions by introducing sheaths of nerves in the brain areas involved in balance and effective therapies for patients with MS. movement [45]. Robinson et al [46] showed that the physical In general, physical exercise is a safe method that can yield benefits of Nintendo Wii Fit training were comparable with beneficial effects such as depending on the training content, traditional balance training in patients with MS. Furthermore, muscular strength, and aerobic capacity and, consequently, it 2 recent systematic reviews concluded that exergaming enhanced improves mobility, fatigue, and quality of life in patients with cognitive functioning, in particular decision-making processes MS [19-21]. A further training method that counteracts the (executive functions) and visuospatial perception, in aspect of cognitive decline is computer-based training. Specific neurological patients who experience stroke, Parkinson disease, computer-based training seems to positively influence different MS, or dementia [40,47]. However, many of the results so far cognitive functions (eg, information processing, executive stem from commercially available exergame systems (mainly functions, and memory domains) in patients with MS [22-24]. Nintendo Wii and fewer Xbox Kinect and Sony PlayStation) However, both methods train the physical and cognitive that have not been developed for specific rehabilitation components separately. A concurrent offering of both training audiences. A review of exergame training in patients with MS components seems to be promising because this would promote suggested the development of exergames that target the training the interplay of physical and cognitive functions and thus add of a clinically identifiable need for this patient group [48]. For everyday life ecological validity to the training approach [25].  example, Nintendo Wii games did not appear to be entirely suitable for rehabilitation in MS because of a lack of flexibility An upcoming training method that concurrently combines the and adaptability to the needs of patients with MS, which require training of physical and cognitive functions is exergaming [26], special software development [49]. “technology-driven physical activities, such as video game play, that require participants to be physically active or exercise in Human-computer interaction research, sports science, and order to play the game” [27]. Typically, a player physically human movement sciences offer numerous guidelines and interacts with a video game represented on the screen via special frameworks aiming for more attractive and effective full-body controller technologies. Controllers track the player’s motion games for different target populations [28,32,50-57]. movements and mediate them into a virtual game scenario that https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 2 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Accordingly, these games should consider the needs and disease-specific deficits to increase motivation and performance constraints of the target population [55,58,59]. One of these and thus to ensure the possibility of successful training. The frameworks is the dual-flow concept that requires individual overall aim of the interdisciplinary research and development adaptable training features, thus ensuring that exergames are work presented here is to develop and evaluate user-centered user-centered [55]. The dual-flow approach implies that exergames for the game controller Dividat Senso by exergame-based training provides an individual and optimal incorporating a theoretical background from movement sciences, level of physical and cognitive challenge for every trainee neuropsychology, and game research, as well as participatory throughout each training session by adapting the difficulty and design processes with patients with MS and their therapists. complexity of the game to an individual’s current physical, This work aims to contribute specifically to the following: (1) cognitive, and emotional states and needs in real time. research-based, iterative, co-designed user-centered exergames Furthermore, the technology-based system of exergames allows for patients with MS and (2) the usability and feasibility testing the systematic and individual integration of training principles of newly developed exergames by field testing and study trials. such as intensity, volume, progression, tailoring, and feedback [60-62]. Specific software algorithms continuously analyze and Methods rate performance, thus allowing real-time adaptations. Recent MS Exergame Concept findings of the international game research debate indicate that a player can be optimally motivated and stimulated with an Design Process adaptive game mechanic [29,34,55,63-65]. In combination with As a first step, the iterative and research-based development an audio-visually appealing exergame scenario (visuals, sound, process of the exergame concepts considered the knowledge story, etc), players’ motivation can be increased [64]. Having gained from different user perspectives (patients with MS and fun while training with interactive games might have a huge therapists) and disciplines (human movement science and impact on engagement and compliance [66]. Thus, a holistic neuropsychology as well as game design and research) to exergame design approach can achieve an attractive and holistically generate a potentially attractive and effective effective training experience by considering the levels of body, user-centered exergame training for cognitive-motor therapy in controller, and game scenario [33,67]. patients with MS (Figure 1). The multilevel design approach Objectives covered important aspects of the exergame concept: the hardware (the Dividat Senso plate), training concept (input In summary, there is a huge potential for developing effective movements, training principles, and cognitive tasks), and and attractive user-centered exergames that combine training software (virtual game scenario). principles with elements of game design and focus on Figure 1. Iterative and research-based development process. This interdisciplinary research and development project Several high-resolution sensors in the plate measure the force developed new exergame concepts for the game controller dynamically through body movements. The Dividat Senso plate Dividat Senso (Dividat; Figure 2). The Dividat Senso is a further allows the generation of multidimensional sensory pressure-sensitive plate that serves as a game-input device. It stimuli (eg, auditory, visual, and tactile). To support the trainee uses specific lower body movements (eg, footsteps or weight and for safety reasons, the plate is surrounded by a handrail. shifts) to control various game scenarios presented on a screen. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 3 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 2. Original setup of the Dividat Senso. patients first focused on the screen to receive the visual game Rethinking the Dividat Senso Plate (Hardware) and stimuli and then tended to look down at the plate to step on the Game Designs (Software) plate area to trigger the respective game input. This process The design process started by analyzing the existing system and seems to be important for patients with MS, as the motor determining its technical opportunities, focusing on the Dividat learning process can be triggered via cognitive and motor Senso plate and the game collection, as they were not designed information processing and realization [68]. However, the game with or for the specific requirements of patients with MS. In control did not leave much room for maneuver, required very this context, the project team visited certain therapy settings precise stepping, and did not make use of the whole plate. Such (rehabilitation center and physiotherapy) with neurologically usage might interrupt movement dynamics and game flow impaired patients (MS and Parkinson disease) using the existing [29,34,64,65] and leave certain gameplay options unused. system in a therapy session. Furthermore, project members Therefore, the plate layout was reconsidered, aiming for more tested the plate and existing games themselves.  intuitive, natural, and everyday-like patterns [34,69,70]. The focus was on using the entire pressure-sensitive plate, allowing The most important finding was that patients often showed the player to keep focusing on the game scenario and thus to similar interaction patterns while playing on the Dividat Senso; stay uninterrupted in the game flow (Figure 3). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 4 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 3. Rethinking the Dividat Senso plate. Concepts for more intuitive and natural input movements and flow are shown. Moreover, some of the existing games did not necessarily follow training principles: (1) type and specificity, (2) intensity, (3) a meaningful design [34] in terms of player perspectives [71] progression, (4) variability, and (5) feedback [60-62]. Literature and the audio-visual representations of the cognitive stimuli on exergaming in a therapeutic context was also considered and the respective motor challenges. For example, a virtual skier [72]. skies downhill while avoiding crashing into obstacles. The skier In this process, some motor functions were considered that seem is represented on the screen in a third-person perspective with to be beneficial for patients with MS. Patients with MS often a top-down view and descends from above the screen but is experience, to a variable extent, muscle weakness, diminished controlled by sideways movements on the Dividat Senso plate dexterity, spastic paresis, sensory dysfunction, gait disturbances, where the left hand and right hand are flipped. and fall risk, as well as fatigue and depression [5,6,73,74]. Therefore, the training concepts aimed to integrate motor control Rethinking the Training Concepts (Cognitive and Motor components, focusing on static and dynamic balance and Tasks) coordination skills. Figure 4 shows the preexisting and On the basis of the above reflections (usage and interaction reconsidered input movement. In terms of cognitive stimulation, patterns), the existing training concepts were also reconsidered, the training concept aimed to integrate cognitive functions that focusing on MS-specific motor and cognitive disabilities (eg, may be affected in patients with MS, such as information balance and coordination) and disease-specific deficits (eg, processing, attention, decision making, error correction, degeneration of myelin). Overall, the training concepts were executive functions, and memory [7,73-75]. developed and integrated by considering the following specific https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 5 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 4. Input movements, including existing patterns (A, B, and C) and rethought patterns (D, E, and F). Input movements are presented as body models and as patterns that are registered by the pressure-sensitive plate. A further training concept for exergames that must be mentioned Focus Groups: Cocreating New Exergame Concepts is the dual-task approach. Study findings indicate that patients Following the rethinking process, new exergame scenarios were with MS have impaired dual- or multi-task performances that designed. To ensure that the concepts were user-centered, the could result from their deficits in divided attention, resource target group (patients with MS and their therapists) was involved capacity overload, or differential neural activation [76-80]. In from the outset. A semistructured interview guideline was this case, exergames allow the concurrent processing and developed based on questions about all elements of the exergame synchronization of cognitive and motor stimuli and therefore environment (eg, body, controller, and virtual game scenarios). seem to support constant body-brain communication. These The aim of the focus group interviews was to explore the target processes might be advantageous as they are close to day-to-day group’s experiences with exergames and technology in the activities, such as walking in an enriched real-world context of therapy, as well as to define needs, preferences, and environment.  expectations for an optimal exergame setup and its integration into an MS therapy setting. The focus group surveys took Furthermore, the reconsidered training concepts considered both approximately 90 minutes and were carried out with 4 games that endorse motor learning [68] and games that require physiotherapists experienced in MS therapy, 9 patients with moderate continuous exercise performance [81] in order to MS, and 2 specialists in neuropsychology. In addition to a list replicate preliminary findings of physical training on myelin of specific questions, participants’ thoughts and specific wishes sheath regeneration as well as to specifically target important for the look and feel of future exergames were assessed using disability-related structural deficits seen in patients with MS. 3 different sketches of potential game scenarios (Figure 5). Figure 5. Three sketches of potential game scenarios. Different gameplay options, game mechanics, and perspectives served as inspiration during focus groups. The Puddle Jump sketch (A), the Gentle Giant sketch (B), and the Owl Flight sketch (C). On the basis of the results of the focus groups, personas for the that the design should not be restricted to a specific age or 2 target audiences were developed. The primary aim was to gender group nor to a single game style and input movement provide patients with MS (predominantly adult females of all concept, because the MS disease pattern is very heterogeneous. ages, ranging from high to low fitness) an attractive and effective Therefore, different exergame scenarios were designed, training. The secondary aim was to provide physiotherapists including different game mechanics, narratives, perspectives, (who are open to the use of technology in movement therapy) and input movements with the Dividat Senso. Each scenario with a flexible supplementary tool to their traditional therapy provided slightly different cognitive and motor challenges and methods. Among other outcomes, the focus groups revealed aimed at patients with MS aged around 30-85 years who fulfilled https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 6 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al further requirements (see the study criteria in Recruitment and prototypes, mock-ups of different themes (street, kitchen, alpine, Participants). underwater, forest, garden, oriental, and sci-fi) were shown to them. People could rate their favorite game and choose the Field Research: Initial Concept Testing theme that would suit them best. Out of the 6 box prototypes, In total, 6 box prototypes (Figure 6) were modeled using the the 3 concepts that were most promising and best rated were game engine Unity 3D and showcased at numerous retained. The survey showed that both patients and therapists neurorehabilitation trade shows. After visitors of the trade of different gender and age groups rated natural, garden-like shows, especially therapists and patients, tested the box game settings the highest. Figure 6. Unity 3D box prototypes. Based on the input from the focus groups, different game scenarios and mechanics were designed. A and D: Two playful, toy-like 2D prototypes allowing the feet to move freely on the Dividat Senso plate to draw and play with a face. E: 2D scenario allowing free steps or weight shifting. B and C: Two 3D images of the Dividat Senso plate acting as a virtual playground, allowing free steps and jumps. F: 3D Racer scenario with a weight shifting input. to train MS-specific disabilities (eg, balance and coordination) Game Concepts: Design, Redesign, and Finalization and disease-specific deficits (eg, degeneration of myelin): (1) Following the preliminary field research, 3 exergame concepts type and specificity (MS-specific motor and cognitive were designed, including different virtual game scenarios and components; see also Rethiking the Training Concepts and Table game mechanics, each demanding other input movements on 1); (2) intensity and progression (level adjustment and the Dividat Senso plate. The specific descriptions of the video in-exergame adaptation [movement speed avatar, Ladybug] games, visualization of the input movements, and visual allowing for moderate continuous exercise experiences) [81]; progression overview can be found in Table 1, Figure 4, and (3) variability (3 exergames to capture different training foci; Figure 7, respectively. In all 3 exergames, the following training Table 1); and (4) feedback (scoring and sound effects). principles of motor learning [68] were integrated specifically https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 7 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Table 1. Game concepts for the game controller Dividat Senso. Exergames Ladybug Scooper Cloudy Description Navigation of a ladybug to collect randomly allo- Harvesting garden vegetables Setting the position of the sun cated flowers and avoid collisions with obstacles (Study 1) or a rain cloud (Study 2) to grow flowers Motor components Static balance and coordination Dynamic balance, coordination, accura- Static balance, coordination, accura- cy, and strength cy, and strength Cognitive compo- Information processing, anticipation, selective Information processing, planning, selec- Information processing and selective nents attention, and visual-spatial orientation tive attention, and visual-spatial orien- attention tation Motor-level set- Level 1: Side stepping, tapping or weight Level 1: Walking and standing on Level 1: Side stepping or tap- • • • tings (Study 2) shifting objects for collection ping  Level 2: Side stepping, tapping or weight Level 2: Walking and squatting Level 2: Side stepping or tap- • • • shifting and stepping to the front to avoid on objects for collection ping and squatting to make the obstacles (stones) Level 3: Walking and jumping on cloud rain Level 3: Side stepping, tapping or weight objects for collection  Level 3: Side stepping or tap- • • shifting and stepping to the front to avoid ping and jumping to make the obstacles (caterpillars) cloud rain  Cognitive-level Level 1: Pick all flowers  Level 1: Pick all vegetables  Level 1: Water all flowers  • • • settings (Study 2) Level 2: Pick bonus flower (2 colors)  Level 2: Pick bonus vegetables (2 Level 2: Water bonus flower • • • Level 3: Pick bonus flower (3 colors)  colors) (2 colors) Level 3: Pick bonus vegetables (3 Level 3: Water bonus flower • • colors) (3 colors) Figure 7. Study setup and in-game screenshots of the tutorial and game tested in the first study (A, B, and C) and in the second study (D, E, and F). measurements for the first study were taken, and from April to Study Design May 2019, the training sessions and measurements for the Two usability studies were conducted to evaluate the usability second study were conducted. Figure 8 shows the project and feasibility of the newly developed user-centered exergames process, including the 2 user studies. in patients with MS. From January to February 2019, the https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 8 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 8. Project schedule. In the first study, patients with MS tested each exergame concept and physiotherapists, and the measurements were taken by (Figure 7) for 5 minutes in a random order. Video recordings trained researchers.  and observation protocols for exergame performance and The ethics committee of ETH Zurich, Switzerland, approved interaction were assessed by trained study investigators at a both study protocols (EK 2018-N-85 and EK 2018-N-124). physiotherapy center (Physiotherapy Langmatten, Binningen, Before any measurements were taken, all eligible patients Switzerland). After the exergame sessions, patients rated the provided written informed consent according to the Declaration System Usability Scale (SUS) and answered predefined of Helsinki. Withdrawal for no stated reason was permitted at interview questions.  any time during the study. In the second study, patients with MS played the redesigned Recruitment and Participants  exergame concepts (Figure 7) over a period of 4 weeks. Each In the first study, potential participants were recruited by patient was trained 1 to 2 times per week at a physiotherapy physiotherapists from a physiotherapy center (Physiotherapy center (Physiotherapy Langmatten) or at one of the Langmatten). In the second study, participants were recruited neurorehabilitation centers (ZURZACH Care, Rehaklinik Bad by physiotherapists and study investigators from specialized Zurzach, Bad Zurzach, Switzerland, and Reha Rheinfelden, centers for neurological physiotherapy (Physiotherapy Rheinfelden, Switzerland). In the first training session, the Langmatten) and rehabilitation (ZURZACH Care, Rehaklinik participants tested all 3 exergame concepts at level 1 for motor Bad Zurzach and Reha Rheinfelden). In both studies, all and cognitive adaptations. In the following sessions, patients interested patients were fully informed about the study procedure could decide which exergames they wanted to play and for how and the inclusion criteria by physiotherapists and study long. This procedure was chosen to obtain an impression of the investigators before screening. Patients who met the initial patient’s preferences. Regarding training progression, levels for eligibility criteria and signed the informed consent form motor and cognitive functions were individually adapted from participated in a personal interview to screen for mental and session to session, aiming for moderate training intensities physical health. Screened data included demographic data and (values between 3 and 4 on the modified Borg scale, which medical information regarding MS (eg, MS type, leg spasticity, ranges from 1 to 10) over 4 weeks. Furthermore, training time and fatigue). Furthermore, the following 2 questionnaires were was individually increased from week to week for each patient assessed to define prevalent MS-related restrictions: the MS while ensuring a minimum training time of 20-25 minutes per Impact Scale [82] and Activities-specific Balance Confidence session. However, as the daily state of patients with MS was scale [83]. unpredictable, the level and training time fluctuated in some cases. In the last training session, each patient replayed each of For the first and second study, the same eligibility criteria were the exergame concepts by starting from where they had left off set. Patients fulfilling all the following inclusion criteria were at the last training session to familiarize themselves with the eligible: (1) female or male; (2) aged 25-80 years; (3) clinical concepts before the postmeasurements. Measurements were diagnosis of MS, including all forms (relapsing or remitting, taken during the first training session and at the last training primary-progredient, secondary-progredient, and session. During the exergame performance, video recordings progressive-relapsing); (4) stationary and ambulant; (5) able to and observation protocols for exergame performance and provide written informed consent and understand instructions; interaction were assessed. After the exergame performance, (6) able to stand at least for 10 minutes with the aid of a patients rated the SUS and answered the Flow Short Scale (FSS), handrail; and (7) visual acuity including correction sufficient Game Flow questionnaire, and predefined interview questions. to work on a television screen. Any of the following criteria led The training sessions were supervised by trained researchers to exclusion: (1) conditions that precluded stepping exercise https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 9 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al (severe spasticity that prevents a person from taking a full step Assessments  or severe musculoskeletal injury), (2) excessive fatigue that Table 2 illustrates the assessments used for the first and second prevented training participation, and (3) exercise intolerance studies.  that prevented training participation. Table 2. Study assessments. Category Explanation Feasibility Training adherence and attrition rate Compliance with training sessions Participants lost at follow-up (dropouts) Usability System Usability Scale Reliable and valid tool providing a global view of subjective usabil- ity [84-86] A score of at least 70 for an “acceptable” solution, below 50 is “unacceptable,” and 50-70 is “marginally acceptable” [86] 10 items (5-point Likert Scale), score range 0-100 Flow Short Scale Used to retrospectively get a typical flow-score for specific kinds of actions or situations [87] 13 items (7-point Likert Scale), score range 1-7 Dimensions: flow (items 1-10), fluency (item 2, 4, 5, 7, 8, and 9), absorption (items 1, 3, 6, and 10), and perceived importance (items 11-13) Game Flow questionnaire Derived from the Sweetser and Wyeth [53] “Game Flow” model, which determines the key elements of player enjoyment 17 items (6-point Likert Scale), score range 1-6 7 main items (items 1-7) building the dimension Game Flow and 10 additional explorative exergame-specific items (items 8-17) Feasibility and usability Guideline-based interview Qualitative evaluation of the user’s game play experiences Categories: (1) overall experience, (2) game scenario, (3) Dividat Senso plate (game controller), (4) body and mind, (5) motivation, (6) training, (7) comparison to conventional movement therapy, and (8) others Video recording and monitoring protocol Exergame performance Same categories as for the interview Training parameters Physical and cognitive exertion Modified Borg Scale from 1 to 10 [88] Number of trainings Range from 4 to 8 trainings Training time How long participants trained per session Play preferences How often each exergame was played An effect size of 0.10–0.29 indicates a small effect, an effect Data Analysis size of 0.30–0.49 indicates a medium effect, and r≥0.50 indicates For quantitative data, statistical analysis was conducted using a large effect [89]. The interviews were assessed by 5 of the SPSS (IBM SPSS 26). The level of significance was set at authors (1 game researcher and 4 movement scientists) following P<.05. The data were compared using the Wilcoxon signed-rank an iterative thematic coding approach based on qualitative test, as the assumptions for parametric statistics were not met content analysis [90]. For all interviews, the coders individually (nonnormally distributed data). The effect size (r) was calculated transcribed and coded the data according to the categories of using the following equation [89]: the interview guidelines. In 2 iterations, the coders discussed the emerging results until an agreement was reached. Finally, r = z/√ (N) two of the authors (1 game researcher and 1 movement scientist) further summarized the findings. A preliminary explorative https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 10 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al analysis was conducted on the observation protocols and videos, release, and scheduling conflicts. In total, participants completed but for the purpose of this paper, they were only used to check 70 training sessions (mean 4.8 training per participant, SD 1.1) certain findings from the interview analysis.  with the exergames. Of the 25 patients with MS, 4 patients with MS missed a training session once and 1 patient with MS missed Results a training session twice, leading to an attendance rate of 95% (120/126). The reasons for missed training were overload and Participants fatigue after training, illness, absence, date conflict, and holiday. Considering the game preferences in the second study, the The participant characteristics are shown in Table 3. At the participants mostly played Ladybug (1.51 sessions per training), beginning of the second study, 29 patients with MS were followed by Scooper (1.19 sessions per training), and the least included, while 4 patients with MS dropped out (attrition rate: Cloudy (0.91 sessions per training). Overall, no adverse events 4/29, 14%) during the study period. The reasons for dropout were recorded in the first and second studies.  were disease-related weakness, physical condition, early clinical Table 3. Baseline and training data characteristics. Characteristics Study 1 (N=16) Study 2 (N=25) Gender, n (%) Female 10 (62) 15 (60) Male 6 (38) 10 (40) Age (years), mean (SD) 62.1 (13.0) 57.3 (11.2) Types of MS , n (%) 7 (44) 11 (44) RR 2 (12) 10 (40) SP 7 (44) 3 (12) PP Not applicable 0 (0) 1 (4) Therapy stay, n (%) Ambulant 16 (100) 19 (76) Stationary 0 (0) 6 (24) Diagnosis since (years), mean (SD) 22.73 (13.1) 16.6 (11.7) 33.2 (16.7) 34.3 (15.0) MSIS , mean (SD) MSIS physical, mean (SD) 34.2 (20.1) 36.2 (15.5) MSIS psychological, mean (SD) 29.7 (23.0) 32.1 (19.2) 74.7 (11.7) 69.4 (18.2) ABC , mean (SD) Exergame experience, n (%) 2 (13) 10 (40) Number of trainings per participant, mean (SD) 1 (0) 4.8 (1.1) Training time per session (min), mean (SD) 15 (0) 19.1 (3.9) Borg motor, mean (SD) 3.3 (1.2) 3.8 (1.8) Borg cognitive, mean (SD) 4.0 (1.8) 3.5 (1.9) MS: multiple sclerosis. RR: relapsing-remitting. SP: secondary-progressive. PP: primary-progressive. MSIS: multiple sclerosis impact scale. ABC: Activities-specific Balance Confidence scale. Quantitative Data In the first study, the median SUS score was 71.3 (IQR 58.8-80.0). The SUS and questionnaire pre-post comparisons of the second study are presented in Table 4. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 11 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Table 4. Questionnaire data (N=25). Pre, median (IQR) Post, median (IQR) z P value r Questionnaires System Usability Scale 89.7 (78.8-95.0) 82.5 (77.5-90.0) −2.077 0.42 5.9 (4.6-6.4) 5.8 (5.4-6.2) −0.400 .69 0.08 Flow Short Scale Fluency 5.7 (4.4-6.6) 5.6 (4.8-6.6) −0.325 .75 0.07 Absorption 5.8 (5.1-6.5) 6.0 (5.1-6.6) −0.485 .63 0.10 d b 2.0 (1.5-3.8) 1.3 (1.0-3.5) −2.118 0.42 Perceived importance .03 5.0 (4.7-5.3) 5.1 (4.9-5.3) −0.473 .64 0.09 Game Flow Concentration 5.0 (5.0-6.0) 6.0 (5.0-6.0) −0.775 .44 0.16 Challenge 4.0 (2.5-4.5) 4.0 (3.0-4.8) −0.210 .83 0.04 Skills or abilities 5.0 (4.0-5.0) 5.0 (4.0-5.0) −0.277 .78 0.06 Control 5.0 (4.5-5.0) 5.0 (4.5-6.0) −0.732 .46 0.15 Aim 6.0 (6.0-6.0) 6.0 (6.0-6.0) −0.816 .41 0.16 Feedback 6.0 (5.0-6.0) 6.0 (6.0-6.0) −1.030 .30 0.21 Immersion 5.0 (5.0-6.0) 5.0 (5.0-6.0) −0.811 .42 0.16 Pleasure and liking 6.0 (5.0-6.0) 6.0 (5.0-6.0) −0.264 .79 0.05 1.0 (1.0-2.5) 1.0 (1.0-2.0) −0.577 .56 0.12 Dual flow over—challenge 1.0 (1.0-3.0) 2.0 (1.0-2.8) −0.418 .68 0.08 Dual flow under—challenge System control 5.0 (4.3-5.0) 5.0 (5.0-6.0) −1.604 .11 0.32 Movement 5.0 (5.0-6.0) 5.0 (5.0-6.0) −0.351 .73 0.07 Motivation 6.0 (5.0-6.0) 6.0 (5.0-6.0) −0.816 .41 0.16 4.0 (2.0-5.0) 4.0 (2.0-5.0) −0.158 .88 0.03 Physical exertion 3.0 (2.0-4.5) 3.0 (2.0-4.0) −0.042 .97 0.01 Cognitive exertion Optimal challenge 5.0 (4.0-5.0) 4.0 (4.0-5.0) −0.842 .40 0.17 Spatial presence 5.0 (3.5-6.0) 5.0 (4.0-6.0) −0.361 .72 0.07 Data were analyzed using Wilcoxon signed-rank test. P<.05. The higher the scores, the better the results. This counts for all items that are not specifically marked. The lower the scores, the better the results. The more in the middle field, the better the results. of body and mind, participants clearly focused on the virtual Qualitative Data gaming world, which distracted them from physical exertion Findings from the guideline-based interviews of both studies and made it seem very pleasant, albeit challenging, but by no are reported for overall experience (Figure 9), body and mind means overstraining (Figure 10). By immersing in the game (Figure 10), games, gameplay experience, and hardware (Figure world, patients were able to forget their everyday worries (often 11), motivation (Figure 12), and the comparison of exergames associated with the disease) for the moment (Figure 10). with conventional therapy (Figure 13). Regarding the potential use of exergames as a therapeutic device, most participants saw the added value of the novel In summary, all participants reported an enjoyable, motivating, training solution in terms of distraction from everyday life, fun, varied, and fun experience with the exergames, which was a and the combined body and brain training approach, even though completely new thing for most of them (Figure 9, Figure 11, traditional therapy measures were also described very positively and 12). They also reported that, in addition to having a lot of and were difficult to compare (Figure 13). A complementary fun while being challenged, they felt a clear improvement in integration of the exergames into therapy could be imagined the handling (coordination and physical interaction) of the new very well by all patients. Further development of the exergames technology over time (Figures 10 and 11), which made them over the 2 studies was also perceived positively. feel more confident in using it (Figures 9 and 11). On the level https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 12 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 9. Interview data focusing on overall experience. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 13 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 10. Interview data focusing on body and mind. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 14 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 11. Interview data focusing on games, gameplay experience, and hardware. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 15 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 12. Interview data focusing on motivation. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 16 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 13. Interview data focusing on the comparison of exergames with conventional therapy. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). human movement sciences, neuropsychology, and game Discussion research, as well as practical skills from game design. Furthermore, this iterative and participatory design process was Overview carried out in close collaboration with patients with MS and This project aimed to contribute specifically to (1) develop their therapists.  research-based, iterative, and co-designed user-centered In the following sections, the quantitative and qualitative results exergames for patients with MS and (2) determine the usability of the user studies are discussed and set in the context of related and feasibility of the newly developed exergames. This was work and knowledge in game research and movement science, only possible by incorporating the theoretical background from https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 17 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al as well as research in the field of MS. Quantitative and brings very different previous experiences in using technology qualitative data revealed certain exergame elements that are [96]. Thus, even for older adult patients without previous specific to patients with MS and can become key features for technology use, the exergames need to be self-explanatory and the further development of user-centered exergames for this easy to use (including help from therapists). In terms of the heterogeneous target group. An outlook on future approaches system’s usability in the heterogeneous study group, the in user-centered MS-specific exergame development and iterative, participative, and interdisciplinary design process of research will be provided. this project was very successful as the SUS increased from study 1 to study 2. In study 2, the SUS dropped from pre- to Shift of Focus postmeasurement. The novelty of the exergame might have After the second study, patients often reported a shift in their distracted patients’ focus away from the usability barriers, focus from the physical to the cognitive level when playing explaining the high SUS score at the premeasurement. exergames. Some patients even reported a shift of focus from Furthermore, with each additional session, participants had more their impairments to their actual skills and abilities, which they time to test the system and explore usability barriers. found to increase over the period studied. A study in older adults Nevertheless, the SUS in study 2 remained at a level that can showed that exergame training increased the participants’ be described as a usable exergame system for patients with MS confidence and research connected this confidence with [86,97]. increased self-efficacy [91,92]. One participant could even use Training Motivation and Challenges advanced training methods in his regular therapy at the end of the second study. The exergames allowed the patients a sense Most patients were motivated to train by exergames and enjoyed of control over their tasks, as described by Sweetser and Wyeth the requirement of physical activity for playing them. This is [53]. The more familiar participants became with the exergames in line with a previous study that interviewed patients with MS and the more they trained their own gameplay strategies and about Nintendo Wii Fit [39]. However, due to the user-centered body movements, the more secure, confident, immersed, development steps and therapy focus, it may be that the training absorbed, and “in the flow” they became with the exergame. motivation was even higher than in studies that used The flow feeling was described not only in the interviews but conventional exergames [48]. One of the main motivational also in the FSS and Game Flow questionnaire, illustrated by a drivers was to improve the player’s body functions, to be high rating in several questionnaire items as well as by a immersed in another world, and to be distracted from daily life significant decrease in the questionnaire item perceived for the duration of the exergame session [53]. Interestingly, importance. The decreased perceived importance item seems interviews revealed that most patients preferred more to indicate that the gaming challenge of the exergames was more challenging games (but still not overchallenging). This was also enjoyable, as patients have attached less importance to the reflected in the number of sessions in which patients chose to gaming outcomes [93]. This might have been caused by the play the most challenging exergames. This challenging situation, shift of focus, the increased sense of control, the familiarization in combination with the skill balance of the exergames, may process, and higher flow feeling. Furthermore, some patients have facilitated the abovementioned flow state during the reported that gaming time distracted them from their daily-life training sessions [98]. Exergames should provide individually problems and their MS-related impairments. This is in line with challenging but still feasible gaming experiences to increase the findings of related studies [53,91,94]. training motivation and therefore possible training-related improvements [53]. To maintain their motivation, patients also Heterogeneity of Patients With MS  wished for more challenging and different games or levels over The heterogeneity of patients with MS, including the individual time in future trials. course of the disease (eg, wide range of symptoms and Training Intensity and Progress unpredictable flare-ups), as well as demographic details (eg, wide range of age), was also reflected in the interviews. Patients An exergame should be able to adapt to the individual patient reported that game content, challenge, and progression should at a physical and cognitive level to meet the heterogeneous and always be adaptable to their individual physical, cognitive, and individual requirements of patients with MS and to allow for mental requirements and their daily form [51,72,95]. Therefore, an optimal training zone [51,95]. For this reason, the design an exergame for patients with MS should allow an individually integrated individual levels for physical and cognitive functions adaptive training focus, taking into account physical, cognitive, into the exergames, allowing for an individually challenging and mental aspects, to correspond with the heterogeneity and game for patients with MS. To extend the playfulness and fluctuations of the disease pattern. The exergames covered 3 effectiveness of the exergames in the future, the assessment of different types of game control and content; each exergame certain motor and cognitive parameters (objective) or rating included 3 levels for motor and cognitive functions. Another scales (subjective) could help to define an individual training relevant aspect is security, especially in therapeutic area [99-102]. The integration of in-exergame, real-time environments [72]. In this project, the patients could use the adaptation could help to maintain a predefined optimal training handrail to support exergame performance due to the insecurity zone in a training session and over a longer period (progression) of their physical stability and capacity. This security support [51,102,103]. In this project, participants had to rate each was greatly appreciated, as presented in the results of our study. training session for physical and cognitive perceived exertion, Overall, no adverse events were recorded during the entire allowing the training load to be adapted for the upcoming duration of the project. The wide age range in patients with MS sessions. The results of the perceived exertion ratings showed https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 18 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al that the newly developed exergames allowed for a moderate exergames, whereas they trained multiple times in the second training load on the cognitive and physical levels in a single study. Therefore, participants might have had the chance to training session and over the training period. For aerobic and reflect more on and better familiarize themselves with the games strength exercises, moderate training is recommended in patients in the second study, while they had only one attempt in the first with MS [104]. However, it is possible that high training study. Additionally, their feedback might have been influenced intensities, such as those used in high-intensity interval training, by the novelty effect. Furthermore, study testing was conducted might be even more beneficial [105]. Nevertheless, a moderate at various clinics and institutions and it did not focus on training intensity seems to be an appropriate approach for measures of effectiveness. However, it should be emphasized exergames to trigger possible motor learning processes without that these studies should be conducted in the context of negatively influencing movement execution in patients with developing a complex intervention for health care settings. MS [68,81]. Within this context, intervention development contains different mandatory steps that should be taken in a sequential order [107]. Exergame as an MS Therapy Tool  In that sense, this study reflects a preintervention stage in which Interviews showed a strong acceptance of the exergames by important principles and necessary actions for this stage were patients (even in the first study). The majority would welcome considered [107]. These findings justify continuing with studies the integration of exergames into their conventional therapy that focus on the outputs and effects in clinical trials [107]. because of their appealing nature and beneficial motor-cognitive Conclusions training approach [40,106]. The combined training regimen allows for the concurrent processing and synchronization of The aim of the presented research and development work was cognitive and motor stimuli and therefore can trigger brain-body to take the first step in the new field of user-centered exergames communication. Patients with MS can have impaired dual- or for patients with MS, to evaluate the usability and feasibility of multi-task performance due to possible deficits in divided the newly developed exergame concepts, to learn from the attention, resource capacity overload, or differential neural findings, and to derive design guidelines for future research and activation [76-80]. Furthermore, exergames allow the integration development projects in this field. of the patient’s conventional therapy progress in physical and The quantitative and qualitative results of this project showed cognitive functions and provide a daily-life environment in that the developed exergames were usable, feasible, well terms of the combined cognitive-motor training. However, some accepted, and enjoyable for patients with MS. Furthermore, the patients missed the social component and interaction with the results indicated preliminary positive effects regarding the therapists. Therefore, it might be interesting to specifically attractiveness of the newly developed, user-centered exergames. integrate the therapist(s) into the exergame experience by Participants enjoyed the motivating, varied, and fun experience in-exergame interaction, allowing training adaptation and with the exergames, which were both fun and physically as well support. This finding is in line with recent exergame studies in as cognitively challenging and allowing them to forget their patients with MS and older adults that emphasize the importance everyday worries (often associated with the disease) for the of social interaction in exergames to increase training motivation moment. Moreover, specific exergame elements were identified: [91,103]. Moreover, social interaction is a part of the Game control mechanisms through audio-visual design, adaptation of Flow model proposed by Sweetser and Wyeth [53]. Overall, the individual difficulty level, game concept diversity addressing user-centered exergames seem to be a very promising therapy the patients’ heterogeneity, involvement of training principles, tool for patients with MS, considering the abovementioned and considerations of the interaction of physical and cognitive aspects of training and design principles.  impairments, especially brain-body communication. As a next step, further research and development work will Considering the points of discussion and design guidelines, deepen the knowledge of design principles in MS exergames user-centered exergames can be a promising training approach and reveal additional insights. To meet the heterogeneous to improve physical and cognitive functions, especially spectrum of MS and to provide an individually attractive and brain-body communication in patients with MS. Thus, effective training and therapy tool, the newly developed user-centered exergames might have positive effects on quality exergames will be further iterated and extended based on the of life by reducing the risk of falling, mobility restrictions, and findings of the usability and feasibility studies. Furthermore, social isolation. Furthermore, the strengthening of body new types of use will be implemented, such as playing a functions such as balance, coordination, and cognition seems multitask version of the exergames that involve upper-body to be a promising way to break the vicious circle of input movements or sitting in a wheelchair. Moreover, further deconditioning. The evaluation of the effects of a user-centered balancing game mechanics will be implemented, as well as exergame will show how far a user-centered exergame might extending the types of input, movement ranges, and tracking complement or even surpass the results of conventional zone. (exergame) approaches in patients with MS.  Limitations There are some limitations that can be reported for this study. In the first study, participants were trained only once with the https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 19 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Acknowledgments The authors want to thank the Swiss Innovation Agency Innosuisse for funding the project (grant number: 41968.1 IP-LS). Furthermore, they thank their postgraduate student Tiziana Schwarz for instructing trainings and helping with data acquisition. Finally, the authors thank all the patients with MS for their participation in this project and the physiotherapists who supported the studies. Authors' Contributions AMN and AS conceptualized, designed, and drafted the manuscript. EDB and SF contributed substantially to the conception and design of the manuscript. AMN, AS, SB, SH, and YH created the study design, compiled the training protocols, and selected the assessment methods for the first study. SH conducted the study (supervised by AMN, AS, and RS). For the second study, AMN, AM, AS, BF, SB, and YH created the study design, compiled the training protocols, and selected the assessment methods. AM and BF conducted the study (supervised by AMN, AS, RS, and SF). SB and YH designed the exergame environments for both studies (supported by AMN, RB, and UG). AMN and AS led data analysis and interpretation; EDB and SF contributed to the latter. All authors critically reviewed and approved the final manuscript. Conflicts of Interest EDB was a cofounder of Dividat, the spin-off company that developed the exergame plate used in this study, and is associated with the company as an external advisor. No revenue was paid (or promised to be paid) directly to EDB or his institution over the 36 months before the submission of the work. References 1. Wallin MT, Culpepper WJ, Nichols E, Bhutta ZA, Gebrehiwot TT, Hay SI, et al. Global, regional, and national burden of multiple sclerosis 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology 2019 Mar;18(3):269-285. [doi: 10.1016/s1474-4422(18)30443-5] 2. Hemmer B, Nessler S, Zhou D, Kieseier B, Hartung H. Immunopathogenesis and immunotherapy of multiple sclerosis. Nat Rev Neurol 2006 Apr;2(4):201-211. [doi: 10.1038/ncpneuro0154] 3. Hauser SL, Chan JR, Oksenberg JR. Multiple sclerosis: Prospects and promise. Ann Neurol 2013 Oct 09;74(3):317-327. [doi: 10.1002/ana.24009] 4. Filippi M, Bar-Or A, Piehl F, Preziosa P, Solari A, Vukusic S, et al. Multiple Sclerosis. Nat Rev Dis Primers 2018 Nov 08;4(43):1-27. [doi: 10.1038/s41572-018-0046-z] 5. Hauser S, Oksenberg L, Baranzini S. Multiple Sclerosis. In: Rosenberg's Molecular and Genetic Basis of Neurological and Psychiatric Disease (5th Edition). London: Academic Press Elsevier; 2015:1001-1014. 6. Compston A, McDonald I, Noseworthy J, Lassmann H, Miller D, Smith K, et al. McAlpine's Multiple Sclerosis (4th Edition). London: Churchill Livingstone Elsevier; 2005. 7. Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. The Lancet Neurology 2008 Dec;7(12):1139-1151. [doi: 10.1016/s1474-4422(08)70259-x] 8. Benito-León J, Manuel Morales J, Rivera-Navarro J, Mitchell AJ. A review about the impact of multiple sclerosis on health-related quality of life. Disability and Rehabilitation 2003;25(23):1291-1303. [doi: 10.1080/09638280310001608591] 9. Motl RW, McAuley E. Symptom Cluster and Quality of Life: Preliminary Evidence in Multiple Sclerosis. Journal of Neuroscience Nursing 2010;42(4):212-216. [doi: 10.1097/jnn.0b013e3181e26c5f] 10. Stolze H, Klebe S, Zechlin C, Baecker C, Friege L, Deuschl G. Falls in frequent neurological diseases. Journal of Neurology 2004;251(1):79-84. [doi: 10.1007/s00415-004-0276-8] 11. Beghi E, Gervasoni E, Pupillo E, Bianchi E, Montesano A, Aprile I, et al. Prediction of Falls in Subjects Suffering From Parkinson Disease, Multiple Sclerosis, and Stroke. Arch Phys Med Rehabil 2018;99(4):641-651. [doi: 10.1016/j.apmr.2017.10.009] [Medline: 29102438] 12. Sosnoff J, Gappmaier E, Frame A, Motl R. Influence of spasticity on mobility and balance in persons with multiple sclerosis. J Neurol Phys Ther 2011;35(3):129-132. [doi: 10.1097/NPT.0b013e31822a8c40] [Medline: 21934374] 13. Flachenecker P, Henze T, Zettl UK. Spasticity in patients with multiple sclerosis--clinical characteristics, treatment and quality of life. Acta Neurol Scand 2014;129(3):154-162. [doi: 10.1111/ane.12202] [Medline: 24256407] 14. Gullo HL, Fleming J, Bennett S, Shum DH. Cognitive and physical fatigue are associated with distinct problems in daily functioning, role fulfilment, and quality of life in multiple sclerosis. Mult Scler Relat Disord 2019;31:118-123. [doi: 10.1016/j.msard.2019.03.024] [Medline: 30981190] 15. Motl R. Physical activity and irreversible disability in multiple sclerosis. Exerc Sport Sci Rev 2010;38(4):186-191. [doi: 10.1097/JES.0b013e3181f44fab] [Medline: 20871235] 16. Motl RW, McAuley E, Snook EM. Physical activity and multiple sclerosis: a meta-analysis. Mult Scler 2005;11(4):459-463. [doi: 10.1191/1352458505ms1188oa] [Medline: 16042230] 17. Kobelt G. Health economic issues in MS. Int MS J 2006;13(1):17-26, 16. [Medline: 16420781] https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 20 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al 18. Kobelt G, Berg J, Lindgren P, Fredrikson S, Jönsson B. Costs and quality of life of patients with multiple sclerosis in Europe. J Neurol Neurosurg Psychiatry 2006;77(8):918-926 [FREE Full text] [doi: 10.1136/jnnp.2006.090365] [Medline: 16690691] 19. Latimer-Cheung AE, Pilutti LA, Hicks AL, Martin Ginis KA, Fenuta AM, MacKibbon KA, et al. Effects of Exercise Training on Fitness, Mobility, Fatigue, and Health-Related Quality of Life Among Adults With Multiple Sclerosis: A Systematic Review to Inform Guideline Development. Archives of Physical Medicine and Rehabilitation 2013;94(9):1800-1828.e3. [doi: 10.1016/j.apmr.2013.04.020] 20. Motl RW, Pilutti LA. The benefits of exercise training in multiple sclerosis. Nat Rev Neurol 2012;8(9):487-497. [doi: 10.1038/nrneurol.2012.136] 21. Pilutti LA, Platta ME, Motl RW, Latimer-Cheung AE. The safety of exercise training in multiple sclerosis: A systematic review. Journal of the Neurological Sciences 2014;343(1-2):3-7. [doi: 10.1016/j.jns.2014.05.016] 22. Dardiotis E, Nousia A, Siokas V, Tsouris Z, Andravizou A, Mentis AA, et al. Efficacy of computer-based cognitive training in neuropsychological performance of patients with multiple sclerosis: A systematic review and meta-analysis. Multiple Sclerosis and Related Disorders 2018;20:58-66. [doi: 10.1016/j.msard.2017.12.017] 23. Hancock LM, Bruce JM, Bruce AS, Lynch SG. Processing speed and working memory training in multiple sclerosis: A double-blind randomized controlled pilot study. Journal of Clinical and Experimental Neuropsychology 2015;37(2):113-127. [doi: 10.1080/13803395.2014.989818] 24. Bonavita S, Sacco R, Della Corte M, Esposito S, Sparaco M, d'Ambrosio A, et al. Computer-aided cognitive rehabilitation improves cognitive performances and induces brain functional connectivity changes in relapsing remitting multiple sclerosis patients: an exploratory study. J Neurol 2015;262(1):91-100. [doi: 10.1007/s00415-014-7528-z] [Medline: 25308631] 25. Parsons TD. Virtual Reality for Enhanced Ecological Validity and Experimental Control in the Clinical, Affective and Social Neurosciences. Front Hum Neurosci 2015;9:660 [FREE Full text] [doi: 10.3389/fnhum.2015.00660] [Medline: 26696869] 26. Oh Y, Yang S. Proceedings of Meaningful Play 2010:1-17. 27. Witherspoon L. ACSM Information on Exergaming. American College of Sports Medicine 2013:1. 28. Mueller F, Khot RA, Gerling K, Mandryk R. Exertion Games. FNT in Human–Computer Interaction 2016;10(1):1-86. [doi: 10.1561/1100000041] 29. Martin-Niedecken A, Mekler E. The ExerCube: Participatory Design of an Immersive Fitness Game Environment. 2018 Presented at: Joint International Conference on Serious Games; 2018; Darmstadt, Germany. [doi: 10.1007/978-3-030-02762-9_28] 30. Martin A, Götz U, Bauer R. Development of task-specific RehabGame settings for robot-assisted pédiatrie movement therapies. 2014 Presented at: IEEE Games Media Entertainment; 2014; Toronto, ON, Canada. [doi: 10.1109/GEM.2014.7048090] 31. Martin A, Götz U, Bauer R. “Gabarello v.1.0” and “Gabarello v.2.0”: Development of motivating rehabilitation games for robot-assisted locomotion therapy in childhood. 2014 Presented at: Games for Health; 2014; Boston p. 101-104. [doi: 10.1007/978-3-658-07141-7_13] 32. Kajastila R, Hämäläinen P. Motion games in real sports environments. interactions 2015 Feb 25;22(2):44-47. [doi: 10.1145/2731182] 33. Martin-Niedecken A, Marquez Segura E, Rogers K, Niedecken S, Turmo Vidal L. Towards Socially Immersive Fitness Games: An Exploratory Evaluation Through Embodied Sketching. 2019 Presented at: CHI PLAY; 2019; Barcelona p. 525-534. [doi: 10.1145/3341215.3356293] 34. Martin-Niedecken A, Rogers K, Turmo Vidal L, Mekler E, Marquez Segura E. ExerCube vs. Personal Trainer: Evaluating a Holistic, Immersive, and Adaptive Fitness Game Setup. 2019 Presented at: CHI Conference on Human Factors in Computing Systems; 2019; Glasgow p. 1-15. [doi: 10.1145/3290605.3300318] 35. Stojan R, Voelcker-Rehage C. A Systematic Review on the Cognitive Benefits and Neurophysiological Correlates of Exergaming in Healthy Older Adults. JCM 2019;8(5):734. [doi: 10.3390/jcm8050734] 36. Sween J, Wallington S, Sheppard V, Taylor T, Llanos A, Adams-Campbell L. The role of exergaming in improving physical activity: a review. J Phys Act Health 2014;11(4):864-870 [FREE Full text] [doi: 10.1123/jpah.2011-0425] [Medline: 25078529] 37. Byrne AM, Kim M. The Exergame as a Tool for Mental Health Treatment. Journal of Creativity in Mental Health 2019;14(4):465-477. [doi: 10.1080/15401383.2019.1627263] 38. Thomas S, Fazakarley L, Thomas P, Collyer S, Brenton S, Perring S, et al. Mii-vitaliSe: a pilot randomised controlled trial of a home gaming system (Nintendo Wii) to increase activity levels, vitality and well-being in people with multiple sclerosis. BMJ Open 2017;7(9):1-16 [FREE Full text] [doi: 10.1136/bmjopen-2017-016966] [Medline: 28954791] 39. Forsberg A, Nilsagård Y, Boström K. Perceptions of using videogames in rehabilitation: a dual perspective of people with multiple sclerosis and physiotherapists. Disabil Rehabil 2015;37(4):338-344 [FREE Full text] [doi: 10.3109/09638288.2014.918196] [Medline: 24833535] https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 21 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al 40. Mura G, Carta M, Sancassiani F, Machado S, Prosperini L. Active exergames to improve cognitive functioning in neurological disabilities: a systematic review and meta-analysis. European Journal of Physical and Rehabilitation Medicine 2017;54(3):450-462. [doi: 10.23736/s1973-9087.17.04680-9] 41. Kramer A, Dettmers C, Gruber M. Exergaming With Additional Postural Demands Improves Balance and Gait in Patients With Multiple Sclerosis as Much as Conventional Balance Training and Leads to High Adherence to Home-Based Balance Training. Archives of Physical Medicine and Rehabilitation 2014;95(10):1803-1809. [doi: 10.1016/j.apmr.2014.04.020] 42. Nilsagård Y, Forsberg A, von Koch L. Balance exercise for persons with multiple sclerosis using Wii games: a randomised, controlled multi-centre study. Mult Scler 2013;19(2):209-216 [FREE Full text] [doi: 10.1177/1352458512450088] [Medline: 22674972] 43. Prosperini L, Fortuna D, Giannì C, Leonardi L, Marchetti MR, Pozzilli C. Home-Based Balance Training Using the Wii Balance Board. Neurorehabil Neural Repair 2013;27(6):516-525. [doi: 10.1177/1545968313478484] 44. Brichetto G, Spallarossa P, de Carvalho MLL, Battaglia MA. The effect of Nintendo® Wii® on balance in people with multiple sclerosis: a pilot randomized control study. Mult Scler 2013;19(9):1219-1221. [doi: 10.1177/1352458512472747] 45. Prosperini L, Fanelli F, Petsas N, Sbardella E, Tona F, Raz E, et al. Multiple Sclerosis: Changes in Microarchitecture of White Matter Tracts after Training with a Video Game Balance Board. Radiology 2014;273(2):529-538. [doi: 10.1148/radiol.14140168] 46. Robinson J, Dixon J, Macsween A, van Schaik P, Martin D. The effects of exergaming on balance, gait, technology acceptance and flow experience in people with multiple sclerosis: a randomized controlled trial. BMC Sports Sci Med Rehabil 2015;7(1):8 [FREE Full text] [doi: 10.1186/s13102-015-0001-1] [Medline: 25969739] 47. Stanmore E, Stubbs B, Vancampfort D, de Bruin ED, Firth J. The effect of active video games on cognitive functioning in clinical and non-clinical populations: A meta-analysis of randomized controlled trials. Neuroscience & Biobehavioral Reviews 2017;78:34-43. [doi: 10.1016/j.neubiorev.2017.04.011] 48. Taylor M, Griffin M. The use of gaming technology for rehabilitation in people with multiple sclerosis. Mult Scler 2014;21(4):355-371. [doi: 10.1177/1352458514563593] 49. Pau M, Coghe G, Corona F, Leban B, Marrosu MG, Cocco E. Effectiveness and Limitations of Unsupervised Home-Based Balance Rehabilitation with Nintendo Wii in People with Multiple Sclerosis. Biomed Res Int 2015:1-8 [FREE Full text] [doi: 10.1155/2015/916478] [Medline: 26583146] 50. Wüest S, van de Langenberg R, de Bruin ED. Design considerations for a theory-driven exergame-based rehabilitation program to improve walking of persons with stroke. Eur Rev Aging Phys Act 2014;11(2):119-129 [FREE Full text] [doi: 10.1007/s11556-013-0136-6] [Medline: 25309631] 51. Hardy S, Dutz T, Wiemeyer J, Göbel S, Steinmetz R. Framework for personalized and adaptive game-based training programs in health sport. Multimed Tools Appl 2014;74(14):5289-5311. [doi: 10.1007/s11042-014-2009-z] 52. Benzing V, Schmidt M. Exergaming for Children and Adolescents: Strengths, Weaknesses, Opportunities and Threats. J Clin Med 2018;7(11):422 [FREE Full text] [doi: 10.3390/jcm7110422] [Medline: 30413016] 53. Sweetser P, Wyeth P. GameFlow: a model for evaluating player enjoyment in games. Computers in Entertainment 2005;3(3):3-3. [doi: 10.1145/1077246.1077253] 54. Hoffmann K. , J. Wiemeyer, and S. Hardy, Prediction and control of the individual Heart Rate response in Exergames. 2016 Presented at: Proceedings of the 10th International Symposium on Computer Science in Sports (Iscss); 2016; Loughborough, UK p. 171-178. [doi: 10.1007/978-3-319-24560-7_22] 55. Sinclair J, Hingston P, Masek M. Considerations for the design of exergames. 2007 Presented at: GRAPHITE '07: Proceedings of the 5th international conference on Computer graphics and interactive techniques; 2007; Australia and Southeast Asia p. 289-295. [doi: 10.1145/1321261.1321313] 56. Segura E, Turmo Vidal L, Rostami A, Waern A. Embodied Sketching. 2016 Presented at: CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems; 2016; San Jose, CA, USA p. 6014-6027. [doi: 10.1145/2858036.2858486] 57. Isbister K, Mueller. Guidelines for the Design of Movement-Based Games and Their Relevance to HCI. Human–Computer Interaction 2014;30(3-4):366-399. [doi: 10.1080/07370024.2014.996647] 58. IJsselsteijn W, de Kort Y, Poels K, Jurgelionis A, Bellotti F. Characterising and Measuring User Experiences in Digital Games. 2007 Presented at: International conference on advances in computer entertainment technology; 2007; Salzburg Austria. 59. Gerling K, Schild J, Masuch M. Exergame Design for Elderly Users: The Case Study of SilverBalance. 2010 Presented at: ACE '10: Proceedings of the 7th International Conference on Advances in Computer Entertainment Technology; 2010; Taipei Taiwan p. 66-69. [doi: 10.1145/1971630.1971650] 60. Gibson A, Wagner D, Heyward V. Advanced Fitness Assessment and Exercise Prescription. Champaign, IL: Human kinetics; 2019. 61. Hoffman J. Physiological aspects of sport training and performance. Champaign, IL: Human kinetics; 2014. 62. Healy AF, Kole JA, Bourne LE. Training principles to advance expertise. Front Psychol 2014;5:131 [FREE Full text] [doi: 10.3389/fpsyg.2014.00131] [Medline: 24600425] https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 22 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al 63. Martin-Niedecken A, Götz U. Design and Evaluation of a Dynamically Adaptive Fitness Game Environment for Children and Young Adolescents. 2016 Presented at: CHI PLAY Companion '16; 2016; Austin Texas USA p. 205-212. [doi: 10.1145/2968120.2987720] 64. Martin-Niedecken A, Götz U. Go with the Dual Flow: Evaluating the Psychophysiological Adaptive Fitness Game Environment “Plunder Planet”. 2017 Presented at: Joint International Conference on Serious Games; 2017; Valencia, Spain p. 32-43. [doi: 10.1007/978-3-319-70111-0_4] 65. Martin-Niedecken A. Designing for bodily interplay: engaging with the adaptive social exertion game "plunder planet". 2018 Presented at: Interaction Design and Children; 2018; Trondheim, Norway p. 19-30. [doi: 10.1145/3202185.3202740] 66. Read JL, Shortell SM. Interactive games to promote behavior change in prevention and treatment. JAMA 2011;305(16):1704-1705. [doi: 10.1001/jama.2011.408] [Medline: 21447802] 67. Martin-Niedecken A, Rogers K, Turmo Vidal L, Mekler E, Marquez Segura E. ExerCube vs. Personal Trainer: Evaluating a Holistic, Immersive, and Adaptive Fitness Game Setup. 2019 Presented at: CHI; 2019; Glasgow Scotland Uk p. 1-15. [doi: 10.1145/3290605.3300318] 68. Bacmeister C, Barr H, McClain C, Thornton M, Nettles D, Welle C, et al. Motor learning promotes remyelination via new and surviving oligodendrocytes. Nat Neurosci 2020;23(7):819-831 [FREE Full text] [doi: 10.1038/s41593-020-0637-3] [Medline: 32424285] 69. Pasch M, Bianchi-Berthouze N, van Dijk B, Nijholt A. Movement-based sports video games: Investigating motivation and gaming experience. Entertainment Computing 2009;1(2):49-61. [doi: 10.1016/j.entcom.2009.09.004] 70. Shafer DM, Carbonara CP, Popova L. Controller Required? The Impact of Natural Mapping on Interactivity, Realism, Presence, and Enjoyment in Motion-Based Video Games. Presence: Teleoperators and Virtual Environments 2014;23(3):267-286. [doi: 10.1162/pres_a_00193] 71. Denisova A, Caims P. First Person vs. Third Person Perspective in Digital Games: Do Player Preferences Affect Immersion? 2015 Presented at: CHI; 2015; Seoul Republic of Korea p. 145-148. [doi: 10.1145/2702123.2702256] 72. Wiemeyer J, Deutsch J, Malone LA, Rowland JL, Swartz MC, Xiong J, et al. Recommendations for the Optimal Design of Exergame Interventions for Persons with Disabilities: Challenges, Best Practices, and Future Research. Games for Health Journal 2015;4(1):58-62. [doi: 10.1089/g4h.2014.0078] 73. Hauser SL, Oksenberg JR. The Neurobiology of Multiple Sclerosis: Genes, Inflammation, and Neurodegeneration. Neuron 2006;52(1):61-76. [doi: 10.1016/j.neuron.2006.09.011] 74. White LJ, Dressendorfer RH. Exercise and Multiple Sclerosis. Sports Medicine 2004;34(15):1077-1100. [doi: 10.2165/00007256-200434150-00005] 75. Sumowski JF, Benedict R, Enzinger C, Filippi M, Geurts JJ, Hamalainen P, et al. Cognition in multiple sclerosis: State of the field and priorities for the future. Neurology 2018;90(6):278-288. [doi: 10.1212/wnl.0000000000004977] 76. Hamilton F, Rochester L, Paul L, Rafferty D, O'Leary C, Evans J. Walking and talking: an investigation of cognitive—motor dual tasking in multiple sclerosis. Mult Scler 2009;15(10):1215-1227. [doi: 10.1177/1352458509106712] 77. Leone C, Patti F, Feys P. Measuring the cost of cognitive-motor dual tasking during walking in multiple sclerosis. Mult Scler 2015;21(2):123-131. [doi: 10.1177/1352458514547408] [Medline: 25178543] 78. Wajda DA, Motl RW, Sosnoff JJ. Dual task cost of walking is related to fall risk in persons with multiple sclerosis. Journal of the Neurological Sciences 2013;335(1-2):160-163. [doi: 10.1016/j.jns.2013.09.021] 79. Learmonth YC, Ensari I, Motl RW. Cognitive Motor Interference in Multiple Sclerosis: Insights From a Systematic Quantitative Review. Archives of Physical Medicine and Rehabilitation 2017;98(6):1229-1240. [doi: 10.1016/j.apmr.2016.07.018] 80. Wajda DA, Sosnoff JJ. Cognitive-motor interference in multiple sclerosis: a systematic review of evidence, correlates, and consequences. Biomed Res Int 2015:1-8 [FREE Full text] [doi: 10.1155/2015/720856] [Medline: 25839039] 81. Feter N, Freitas M, Gonzales N, Umpierre D, Cardoso R, Rombaldi A. Effects of physical exercise on myelin sheath regeneration: A systematic review and meta-analysis. Science & Sports 2018;33(1):8-21. [doi: 10.1016/j.scispo.2017.06.009] 82. Hobart J, Lamping D, Fitzpatrick R, Riazi A, Thompson A. The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measure. Brain 2001;124(5):962-973. [doi: 10.1093/brain/124.5.962] [Medline: 11335698] 83. Powell LE, Myers AM. The Activities-specific Balance Confidence (ABC) Scale. The Journals of Gerontology 1995;50A(1):M28-M34. [doi: 10.1093/gerona/50a.1.m28] [Medline: 7814786] 84. Brooke J. SUS-A quick and dirty usability scale. Usability evaluation in industry 1996;189(194):4-7. [doi: 10.1201/9781498710411-35] 85. Tullis T, Albert W. Measuring the user experience: collecting, analyzing, and presenting usability metrics. Amsterdam: Elsevier Inc; 2013. 86. Bangor A, Kortum PT, Miller JT. An Empirical Evaluation of the System Usability Scale. International Journal of Human-Computer Interaction 2008;24(6):574-594. [doi: 10.1080/10447310802205776] 87. Rheinberg F, Vollmeyer R, Engeser S. Die Erfassung des Flow-Erlebens. In: Diagnostik von Motivation und Selstkonzept. Göttingen: Hogrefe; 2003:261-279. 88. Borg G. Borg's perceived exertion and pain scales. In: Borg's perceived exertion and pain scales. Champaign, IL: Human kinetics; 1998. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 23 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al 89. Cohen J, Cohen P, West S, Alken L. Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, New Jersey: Lawrence Erlbaum Association; 2003. 90. Mayring P. Qualitative Content Analysis: Theoretical Background and Procedures. In: Approaches to Qualitative Research in Mathematics Education. Advances in Mathematics Education. Dordrecht: Springer; 2015:365-380. 91. Meekes W, Stanmore EK. Motivational Determinants of Exergame Participation for Older People in Assisted Living Facilities: Mixed-Methods Study. J Med Internet Res 2017;19(7):e238. [doi: 10.2196/jmir.6841] 92. Schutzer KA, Graves BS. Barriers and motivations to exercise in older adults. Prev Med 2004;39(5):1056-1061. [doi: 10.1016/j.ypmed.2004.04.003] [Medline: 15475041] 93. Engeser S, editor. Advances in Flow Research. New York: Springer Science+Business Media; 2012. 94. Jennett C, Cox AL, Cairns P, Dhoparee S, Epps A, Tijs T, et al. Measuring and defining the experience of immersion in games. International Journal of Human-Computer Studies 2008;66(9):641-661. [doi: 10.1016/j.ijhcs.2008.04.004] 95. Streicher A, Smeddinck J. Personalized and Adaptive Serious Games. In: Entertainment Computing and Serious Games. Cham: Springer; 2016:332-377. 96. O'brien MA, Rogers WA, Fisk AD. Understanding age and technology experience differences in use of prior knowledge for everyday technology interactions. ACM Trans. Access. Comput 2012;4(2):1-27. [doi: 10.1145/2141943.2141947] 97. Bangor A. , P. Kortum, and J. Miller, Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of usability studies 2009;4(3):114-123. 98. Jackson S, Csikszentmihalyi M. Flow in sports: The keys to optimal experiences and performances. Champaign, IL: Human kinetics; 1999. 99. Meckel Y, Zach S, Eliakim A, Sindiani M. The interval-training paradox: Physiological responses vs. subjective rate of perceived exertion. Physiology & Behavior 2018;196:144-149. [doi: 10.1016/j.physbeh.2018.08.013] 100. Vasilyev V, Borisov V, Syskov A. Biofeedback Methodology: a Narrative Review. 2019 Presented at: International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON); 2019; Novosibirsk, Russia. [doi: 10.1109/sibircon48586.2019.8958019] 101. Smith M, Fransen R, Coutts A. Inducing and assessing cognitive fatigue. 2014 Presented at: European College of Sport Science Annucal Congress; 2014; Amsterdam. 102. Martin-Niedecken A, Schwarz T, Schättin A. Comparing Training Intensity and Experience of an Adaptive Exergame-Based Functional HIIT in the ExerCube Based on Individually Determined Versus Calculated Heart Rate in Healthy Young Adults. Frontiers in Psychology 2021:1-14 (forthcoming). 103. Octavia JR, Coninx K. Adaptive Personalized Training Games for Individual and Collaborative Rehabilitation of People with Multiple Sclerosis. BioMed Research International 2014;2014:1-22. [doi: 10.1155/2014/345728] 104. Kim Y, Lai B, Mehta T, Thirumalai M, Padalabalanarayanan S, Rimmer JH, et al. Exercise Training Guidelines for Multiple Sclerosis, Stroke, and Parkinson Disease. Am J Phys Med Rehabil 2019;98(7):613-621. [doi: 10.1097/phm.0000000000001174] 105. Campbell E, Coulter EH, Paul L. High intensity interval training for people with multiple sclerosis: A systematic review. Multiple Sclerosis and Related Disorders 2018;24:55-63. [doi: 10.1016/j.msard.2018.06.005] 106. Maggio MG, Russo M, Cuzzola MF, Destro M, La Rosa G, Molonia F, et al. Virtual reality in multiple sclerosis rehabilitation: A review on cognitive and motor outcomes. Journal of Clinical Neuroscience 2019;65:106-111. [doi: 10.1016/j.jocn.2019.03.017] 107. O'Cathain A, Croot L, Duncan E, Rousseau N, Sworn K, Turner KM, et al. Guidance on how to develop complex interventions to improve health and healthcare. BMJ Open 2019;9(8):e029954. [doi: 10.1136/bmjopen-2019-029954] Abbreviations CNS: central nervous system FSS: Flow Short Scale MS: multiple sclerosis SUS: System Usability Scale https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 24 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Edited by N Zary; submitted 25.09.20; peer-reviewed by C Werner, L Becker; comments to author 08.12.20; revised version received 03.02.21; accepted 12.02.21; published 07.05.21 Please cite as: Schättin A, Häfliger S, Meyer A, Früh B, Böckler S, Hungerbühler Y, de Bruin ED, Frese S, Steinlin Egli R, Götz U, Bauer R, Martin-Niedecken AL JMIR Serious Games 2021;9(2):e22826 URL: https://games.jmir.org/2021/2/e22826 doi: 10.2196/22826 PMID: 33960956 ©Alexandra Schättin, Stephan Häfliger, Alain Meyer, Barbara Früh, Sonja Böckler, Yannic Hungerbühler, Eling D de Bruin, Sebastian Frese, Regula Steinlin Egli, Ulrich Götz, René Bauer, Anna Lisa Martin-Niedecken. Originally published in JMIR Serious Games (https://games.jmir.org), 07.05.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Serious Games, is properly cited. The complete bibliographic information, a link to the original publication on http://games.jmir.org, as well as this copyright and license information must be included. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 25 (page number not for citation purposes) XSL FO RenderX http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JMIR Serious Games JMIR Publications

Design and Evaluation of User-Centered Exergames for Patients With Multiple Sclerosis: Multilevel Usability and Feasibility Studies

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JMIR Publications
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2291-9279
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10.2196/22826
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Abstract

Background: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. Patients with MS experience a wide range of physical and cognitive dysfunctions that affect their quality of life. A promising training approach that concurrently trains physical and cognitive functions is video game–based physical exercising (ie, exergaming). Previous studies have indicated that exergames have positive effects on balance and cognitive functions in patients with MS. However, there is still a need for specific, user-centered exergames that function as a motivating and effective therapy tool for patients with MS and studies investigating their usability and feasibility. Objective: The aim of this interdisciplinary research project is to develop usable and feasible user-centered exergames for the pressure-sensitive plate Dividat Senso by incorporating theoretical backgrounds from movement sciences, neuropsychology, and game research as well as participatory design processes. Methods: Focus groups (patients and therapists) were set up to define the user-centered design process. This was followed by the field testing of newly developed exergame concepts. Two sequential usability and feasibility studies were conducted on patients with MS. The first study included a single exergaming session followed by measurements. Between the first and second studies, prototypes were iterated based on the findings. The second study ran for 4 weeks (1-2 trainings per week), and measurements were taken before and after the intervention. For each study, participants answered the System Usability Scale (SUS; 10 items; 5-point Likert Scale; score range 0-100) and interview questions. In the second study, participants answered game experience–related questionnaires (Flow Short Scale [FSS]: 13 items; 7-point Likert Scale; score range 1-7; Game Flow questionnaire: 17 items; 6-point Likert Scale; score range 1-6). Mixed methods were used to analyze the quantitative and qualitative data. Results: In the first study (N=16), usability was acceptable, with a median SUS score of 71.3 (IQR 58.8-80.0). In the second study (N=25), the median SUS scores were 89.7 (IQR 78.8-95.0; before) and 82.5 (IQR 77.5-90.0; after), and thus, a significant decrease was observed after training (z=−2.077; P=.04; r=0.42). Moreover, high values were observed for the overall FSS (pre: median 5.9, IQR 4.6-6.4; post: median 5.8, IQR 5.4-6.2) and overall Game Flow Questionnaire (pre: median 5.0, IQR 4.7-5.3; post: median 5.1, IQR 4.9-5.3). A significant decrease was observed in the item perceived importance (FSS: z=−2.118; P=.03; r=0.42). Interviews revealed that user-centered exergames were usable, well accepted, and enjoyable. Points of reference were identified for future research and development. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 1 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Conclusions: The project revealed that the newly developed, user-centered exergames were usable and feasible for patients with MS. Furthermore, exergame elements should be considered in the development phase of user-centered exergames (for patients with MS). Future studies are needed to provide indications about the efficacy of user-centered exergames for patients with MS. (JMIR Serious Games 2021;9(2):e22826) doi: 10.2196/22826 KEYWORDS multiple sclerosis; exergame; motor; physical; cognition; usability; feasibility provides audio-visual feedback. In this way, commercially Introduction available exergames (eg, Nintendo Wii, Sony Move, or Microsoft Kinect) have successfully turned living rooms into Background playful training settings for approximately 10 years [28,29]. Globally, approximately 2.3 million people have multiple Apart from the entertainment market, video game–based training sclerosis (MS) [1]. MS is an immune-mediated chronic and therapy applications have also established themselves in inflammatory disease in which focal inflammation causes the the fitness and rehabilitation industry (eg, game-based, degradation of myelin in the nerve fibers of the central nervous robot-assisted movement therapy [30,31]; virtually augmented system (CNS), resulting in a wide range of symptoms and climbing [32]; or exergame fitness training [29,33,34]). Besides impairments [2-4]. Depending on the affected CNS regions and the various beneficial effects of exergaming [35-37], the the degree of severity, patients with MS can have physical physical-cognitive interaction of exergames seems to trigger an disabilities (eg, motor weakness, spasticity, sensory alternating brain-body communication. Depending on the video disturbances, ataxia, and visual loss), cognitive dysfunction (eg, game stimuli and the body-controller interaction, different information processing, attention, executive functions, and cognitive and physical functions can be trained, which makes memory), and fatigue [5-7]. Symptoms and disabilities affect exergames a promising tool in MS therapy. quality of life by increasing the risk of falls, mobility In recent years, researchers have started to evaluate exergames restrictions, and social isolation [5,6,8-14]. Moreover, patients as a rehabilitation tool for patients with MS. Exergames proved with MS are often physically inactive or have a sedentary to be an acceptable, feasible, safe, enjoyable, challenging, and lifestyle as a consequence of the abovementioned symptoms self-motivating tool [38-40]. Kramer et al [41] concluded that and disabilities, initiating a vicious circle of deconditioning and the integration of exergames seemed to have a positive effect worsening of symptoms [15,16]. MS is commonly diagnosed on training adherence and therefore could support the efficacy in young adults between 20 and 40 years of age and thus affects of long-term rehabilitation. Video game–based exercises, the early stages of their working lives [5]. All these factors lead especially Nintendo Wii Fit, seem to improve static and dynamic to an increase in social and health care costs [17,18]. Therefore, balance as well as gait performance in patients with MS [41-44]. there is a huge socioeconomic need to stabilize and counteract Intriguingly, these exercises led to improvements in the myelin physical disabilities and cognitive dysfunctions by introducing sheaths of nerves in the brain areas involved in balance and effective therapies for patients with MS. movement [45]. Robinson et al [46] showed that the physical In general, physical exercise is a safe method that can yield benefits of Nintendo Wii Fit training were comparable with beneficial effects such as depending on the training content, traditional balance training in patients with MS. Furthermore, muscular strength, and aerobic capacity and, consequently, it 2 recent systematic reviews concluded that exergaming enhanced improves mobility, fatigue, and quality of life in patients with cognitive functioning, in particular decision-making processes MS [19-21]. A further training method that counteracts the (executive functions) and visuospatial perception, in aspect of cognitive decline is computer-based training. Specific neurological patients who experience stroke, Parkinson disease, computer-based training seems to positively influence different MS, or dementia [40,47]. However, many of the results so far cognitive functions (eg, information processing, executive stem from commercially available exergame systems (mainly functions, and memory domains) in patients with MS [22-24]. Nintendo Wii and fewer Xbox Kinect and Sony PlayStation) However, both methods train the physical and cognitive that have not been developed for specific rehabilitation components separately. A concurrent offering of both training audiences. A review of exergame training in patients with MS components seems to be promising because this would promote suggested the development of exergames that target the training the interplay of physical and cognitive functions and thus add of a clinically identifiable need for this patient group [48]. For everyday life ecological validity to the training approach [25].  example, Nintendo Wii games did not appear to be entirely suitable for rehabilitation in MS because of a lack of flexibility An upcoming training method that concurrently combines the and adaptability to the needs of patients with MS, which require training of physical and cognitive functions is exergaming [26], special software development [49]. “technology-driven physical activities, such as video game play, that require participants to be physically active or exercise in Human-computer interaction research, sports science, and order to play the game” [27]. Typically, a player physically human movement sciences offer numerous guidelines and interacts with a video game represented on the screen via special frameworks aiming for more attractive and effective full-body controller technologies. Controllers track the player’s motion games for different target populations [28,32,50-57]. movements and mediate them into a virtual game scenario that https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 2 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Accordingly, these games should consider the needs and disease-specific deficits to increase motivation and performance constraints of the target population [55,58,59]. One of these and thus to ensure the possibility of successful training. The frameworks is the dual-flow concept that requires individual overall aim of the interdisciplinary research and development adaptable training features, thus ensuring that exergames are work presented here is to develop and evaluate user-centered user-centered [55]. The dual-flow approach implies that exergames for the game controller Dividat Senso by exergame-based training provides an individual and optimal incorporating a theoretical background from movement sciences, level of physical and cognitive challenge for every trainee neuropsychology, and game research, as well as participatory throughout each training session by adapting the difficulty and design processes with patients with MS and their therapists. complexity of the game to an individual’s current physical, This work aims to contribute specifically to the following: (1) cognitive, and emotional states and needs in real time. research-based, iterative, co-designed user-centered exergames Furthermore, the technology-based system of exergames allows for patients with MS and (2) the usability and feasibility testing the systematic and individual integration of training principles of newly developed exergames by field testing and study trials. such as intensity, volume, progression, tailoring, and feedback [60-62]. Specific software algorithms continuously analyze and Methods rate performance, thus allowing real-time adaptations. Recent MS Exergame Concept findings of the international game research debate indicate that a player can be optimally motivated and stimulated with an Design Process adaptive game mechanic [29,34,55,63-65]. In combination with As a first step, the iterative and research-based development an audio-visually appealing exergame scenario (visuals, sound, process of the exergame concepts considered the knowledge story, etc), players’ motivation can be increased [64]. Having gained from different user perspectives (patients with MS and fun while training with interactive games might have a huge therapists) and disciplines (human movement science and impact on engagement and compliance [66]. Thus, a holistic neuropsychology as well as game design and research) to exergame design approach can achieve an attractive and holistically generate a potentially attractive and effective effective training experience by considering the levels of body, user-centered exergame training for cognitive-motor therapy in controller, and game scenario [33,67]. patients with MS (Figure 1). The multilevel design approach Objectives covered important aspects of the exergame concept: the hardware (the Dividat Senso plate), training concept (input In summary, there is a huge potential for developing effective movements, training principles, and cognitive tasks), and and attractive user-centered exergames that combine training software (virtual game scenario). principles with elements of game design and focus on Figure 1. Iterative and research-based development process. This interdisciplinary research and development project Several high-resolution sensors in the plate measure the force developed new exergame concepts for the game controller dynamically through body movements. The Dividat Senso plate Dividat Senso (Dividat; Figure 2). The Dividat Senso is a further allows the generation of multidimensional sensory pressure-sensitive plate that serves as a game-input device. It stimuli (eg, auditory, visual, and tactile). To support the trainee uses specific lower body movements (eg, footsteps or weight and for safety reasons, the plate is surrounded by a handrail. shifts) to control various game scenarios presented on a screen. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 3 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 2. Original setup of the Dividat Senso. patients first focused on the screen to receive the visual game Rethinking the Dividat Senso Plate (Hardware) and stimuli and then tended to look down at the plate to step on the Game Designs (Software) plate area to trigger the respective game input. This process The design process started by analyzing the existing system and seems to be important for patients with MS, as the motor determining its technical opportunities, focusing on the Dividat learning process can be triggered via cognitive and motor Senso plate and the game collection, as they were not designed information processing and realization [68]. However, the game with or for the specific requirements of patients with MS. In control did not leave much room for maneuver, required very this context, the project team visited certain therapy settings precise stepping, and did not make use of the whole plate. Such (rehabilitation center and physiotherapy) with neurologically usage might interrupt movement dynamics and game flow impaired patients (MS and Parkinson disease) using the existing [29,34,64,65] and leave certain gameplay options unused. system in a therapy session. Furthermore, project members Therefore, the plate layout was reconsidered, aiming for more tested the plate and existing games themselves.  intuitive, natural, and everyday-like patterns [34,69,70]. The focus was on using the entire pressure-sensitive plate, allowing The most important finding was that patients often showed the player to keep focusing on the game scenario and thus to similar interaction patterns while playing on the Dividat Senso; stay uninterrupted in the game flow (Figure 3). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 4 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 3. Rethinking the Dividat Senso plate. Concepts for more intuitive and natural input movements and flow are shown. Moreover, some of the existing games did not necessarily follow training principles: (1) type and specificity, (2) intensity, (3) a meaningful design [34] in terms of player perspectives [71] progression, (4) variability, and (5) feedback [60-62]. Literature and the audio-visual representations of the cognitive stimuli on exergaming in a therapeutic context was also considered and the respective motor challenges. For example, a virtual skier [72]. skies downhill while avoiding crashing into obstacles. The skier In this process, some motor functions were considered that seem is represented on the screen in a third-person perspective with to be beneficial for patients with MS. Patients with MS often a top-down view and descends from above the screen but is experience, to a variable extent, muscle weakness, diminished controlled by sideways movements on the Dividat Senso plate dexterity, spastic paresis, sensory dysfunction, gait disturbances, where the left hand and right hand are flipped. and fall risk, as well as fatigue and depression [5,6,73,74]. Therefore, the training concepts aimed to integrate motor control Rethinking the Training Concepts (Cognitive and Motor components, focusing on static and dynamic balance and Tasks) coordination skills. Figure 4 shows the preexisting and On the basis of the above reflections (usage and interaction reconsidered input movement. In terms of cognitive stimulation, patterns), the existing training concepts were also reconsidered, the training concept aimed to integrate cognitive functions that focusing on MS-specific motor and cognitive disabilities (eg, may be affected in patients with MS, such as information balance and coordination) and disease-specific deficits (eg, processing, attention, decision making, error correction, degeneration of myelin). Overall, the training concepts were executive functions, and memory [7,73-75]. developed and integrated by considering the following specific https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 5 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 4. Input movements, including existing patterns (A, B, and C) and rethought patterns (D, E, and F). Input movements are presented as body models and as patterns that are registered by the pressure-sensitive plate. A further training concept for exergames that must be mentioned Focus Groups: Cocreating New Exergame Concepts is the dual-task approach. Study findings indicate that patients Following the rethinking process, new exergame scenarios were with MS have impaired dual- or multi-task performances that designed. To ensure that the concepts were user-centered, the could result from their deficits in divided attention, resource target group (patients with MS and their therapists) was involved capacity overload, or differential neural activation [76-80]. In from the outset. A semistructured interview guideline was this case, exergames allow the concurrent processing and developed based on questions about all elements of the exergame synchronization of cognitive and motor stimuli and therefore environment (eg, body, controller, and virtual game scenarios). seem to support constant body-brain communication. These The aim of the focus group interviews was to explore the target processes might be advantageous as they are close to day-to-day group’s experiences with exergames and technology in the activities, such as walking in an enriched real-world context of therapy, as well as to define needs, preferences, and environment.  expectations for an optimal exergame setup and its integration into an MS therapy setting. The focus group surveys took Furthermore, the reconsidered training concepts considered both approximately 90 minutes and were carried out with 4 games that endorse motor learning [68] and games that require physiotherapists experienced in MS therapy, 9 patients with moderate continuous exercise performance [81] in order to MS, and 2 specialists in neuropsychology. In addition to a list replicate preliminary findings of physical training on myelin of specific questions, participants’ thoughts and specific wishes sheath regeneration as well as to specifically target important for the look and feel of future exergames were assessed using disability-related structural deficits seen in patients with MS. 3 different sketches of potential game scenarios (Figure 5). Figure 5. Three sketches of potential game scenarios. Different gameplay options, game mechanics, and perspectives served as inspiration during focus groups. The Puddle Jump sketch (A), the Gentle Giant sketch (B), and the Owl Flight sketch (C). On the basis of the results of the focus groups, personas for the that the design should not be restricted to a specific age or 2 target audiences were developed. The primary aim was to gender group nor to a single game style and input movement provide patients with MS (predominantly adult females of all concept, because the MS disease pattern is very heterogeneous. ages, ranging from high to low fitness) an attractive and effective Therefore, different exergame scenarios were designed, training. The secondary aim was to provide physiotherapists including different game mechanics, narratives, perspectives, (who are open to the use of technology in movement therapy) and input movements with the Dividat Senso. Each scenario with a flexible supplementary tool to their traditional therapy provided slightly different cognitive and motor challenges and methods. Among other outcomes, the focus groups revealed aimed at patients with MS aged around 30-85 years who fulfilled https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 6 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al further requirements (see the study criteria in Recruitment and prototypes, mock-ups of different themes (street, kitchen, alpine, Participants). underwater, forest, garden, oriental, and sci-fi) were shown to them. People could rate their favorite game and choose the Field Research: Initial Concept Testing theme that would suit them best. Out of the 6 box prototypes, In total, 6 box prototypes (Figure 6) were modeled using the the 3 concepts that were most promising and best rated were game engine Unity 3D and showcased at numerous retained. The survey showed that both patients and therapists neurorehabilitation trade shows. After visitors of the trade of different gender and age groups rated natural, garden-like shows, especially therapists and patients, tested the box game settings the highest. Figure 6. Unity 3D box prototypes. Based on the input from the focus groups, different game scenarios and mechanics were designed. A and D: Two playful, toy-like 2D prototypes allowing the feet to move freely on the Dividat Senso plate to draw and play with a face. E: 2D scenario allowing free steps or weight shifting. B and C: Two 3D images of the Dividat Senso plate acting as a virtual playground, allowing free steps and jumps. F: 3D Racer scenario with a weight shifting input. to train MS-specific disabilities (eg, balance and coordination) Game Concepts: Design, Redesign, and Finalization and disease-specific deficits (eg, degeneration of myelin): (1) Following the preliminary field research, 3 exergame concepts type and specificity (MS-specific motor and cognitive were designed, including different virtual game scenarios and components; see also Rethiking the Training Concepts and Table game mechanics, each demanding other input movements on 1); (2) intensity and progression (level adjustment and the Dividat Senso plate. The specific descriptions of the video in-exergame adaptation [movement speed avatar, Ladybug] games, visualization of the input movements, and visual allowing for moderate continuous exercise experiences) [81]; progression overview can be found in Table 1, Figure 4, and (3) variability (3 exergames to capture different training foci; Figure 7, respectively. In all 3 exergames, the following training Table 1); and (4) feedback (scoring and sound effects). principles of motor learning [68] were integrated specifically https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 7 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Table 1. Game concepts for the game controller Dividat Senso. Exergames Ladybug Scooper Cloudy Description Navigation of a ladybug to collect randomly allo- Harvesting garden vegetables Setting the position of the sun cated flowers and avoid collisions with obstacles (Study 1) or a rain cloud (Study 2) to grow flowers Motor components Static balance and coordination Dynamic balance, coordination, accura- Static balance, coordination, accura- cy, and strength cy, and strength Cognitive compo- Information processing, anticipation, selective Information processing, planning, selec- Information processing and selective nents attention, and visual-spatial orientation tive attention, and visual-spatial orien- attention tation Motor-level set- Level 1: Side stepping, tapping or weight Level 1: Walking and standing on Level 1: Side stepping or tap- • • • tings (Study 2) shifting objects for collection ping  Level 2: Side stepping, tapping or weight Level 2: Walking and squatting Level 2: Side stepping or tap- • • • shifting and stepping to the front to avoid on objects for collection ping and squatting to make the obstacles (stones) Level 3: Walking and jumping on cloud rain Level 3: Side stepping, tapping or weight objects for collection  Level 3: Side stepping or tap- • • shifting and stepping to the front to avoid ping and jumping to make the obstacles (caterpillars) cloud rain  Cognitive-level Level 1: Pick all flowers  Level 1: Pick all vegetables  Level 1: Water all flowers  • • • settings (Study 2) Level 2: Pick bonus flower (2 colors)  Level 2: Pick bonus vegetables (2 Level 2: Water bonus flower • • • Level 3: Pick bonus flower (3 colors)  colors) (2 colors) Level 3: Pick bonus vegetables (3 Level 3: Water bonus flower • • colors) (3 colors) Figure 7. Study setup and in-game screenshots of the tutorial and game tested in the first study (A, B, and C) and in the second study (D, E, and F). measurements for the first study were taken, and from April to Study Design May 2019, the training sessions and measurements for the Two usability studies were conducted to evaluate the usability second study were conducted. Figure 8 shows the project and feasibility of the newly developed user-centered exergames process, including the 2 user studies. in patients with MS. From January to February 2019, the https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 8 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 8. Project schedule. In the first study, patients with MS tested each exergame concept and physiotherapists, and the measurements were taken by (Figure 7) for 5 minutes in a random order. Video recordings trained researchers.  and observation protocols for exergame performance and The ethics committee of ETH Zurich, Switzerland, approved interaction were assessed by trained study investigators at a both study protocols (EK 2018-N-85 and EK 2018-N-124). physiotherapy center (Physiotherapy Langmatten, Binningen, Before any measurements were taken, all eligible patients Switzerland). After the exergame sessions, patients rated the provided written informed consent according to the Declaration System Usability Scale (SUS) and answered predefined of Helsinki. Withdrawal for no stated reason was permitted at interview questions.  any time during the study. In the second study, patients with MS played the redesigned Recruitment and Participants  exergame concepts (Figure 7) over a period of 4 weeks. Each In the first study, potential participants were recruited by patient was trained 1 to 2 times per week at a physiotherapy physiotherapists from a physiotherapy center (Physiotherapy center (Physiotherapy Langmatten) or at one of the Langmatten). In the second study, participants were recruited neurorehabilitation centers (ZURZACH Care, Rehaklinik Bad by physiotherapists and study investigators from specialized Zurzach, Bad Zurzach, Switzerland, and Reha Rheinfelden, centers for neurological physiotherapy (Physiotherapy Rheinfelden, Switzerland). In the first training session, the Langmatten) and rehabilitation (ZURZACH Care, Rehaklinik participants tested all 3 exergame concepts at level 1 for motor Bad Zurzach and Reha Rheinfelden). In both studies, all and cognitive adaptations. In the following sessions, patients interested patients were fully informed about the study procedure could decide which exergames they wanted to play and for how and the inclusion criteria by physiotherapists and study long. This procedure was chosen to obtain an impression of the investigators before screening. Patients who met the initial patient’s preferences. Regarding training progression, levels for eligibility criteria and signed the informed consent form motor and cognitive functions were individually adapted from participated in a personal interview to screen for mental and session to session, aiming for moderate training intensities physical health. Screened data included demographic data and (values between 3 and 4 on the modified Borg scale, which medical information regarding MS (eg, MS type, leg spasticity, ranges from 1 to 10) over 4 weeks. Furthermore, training time and fatigue). Furthermore, the following 2 questionnaires were was individually increased from week to week for each patient assessed to define prevalent MS-related restrictions: the MS while ensuring a minimum training time of 20-25 minutes per Impact Scale [82] and Activities-specific Balance Confidence session. However, as the daily state of patients with MS was scale [83]. unpredictable, the level and training time fluctuated in some cases. In the last training session, each patient replayed each of For the first and second study, the same eligibility criteria were the exergame concepts by starting from where they had left off set. Patients fulfilling all the following inclusion criteria were at the last training session to familiarize themselves with the eligible: (1) female or male; (2) aged 25-80 years; (3) clinical concepts before the postmeasurements. Measurements were diagnosis of MS, including all forms (relapsing or remitting, taken during the first training session and at the last training primary-progredient, secondary-progredient, and session. During the exergame performance, video recordings progressive-relapsing); (4) stationary and ambulant; (5) able to and observation protocols for exergame performance and provide written informed consent and understand instructions; interaction were assessed. After the exergame performance, (6) able to stand at least for 10 minutes with the aid of a patients rated the SUS and answered the Flow Short Scale (FSS), handrail; and (7) visual acuity including correction sufficient Game Flow questionnaire, and predefined interview questions. to work on a television screen. Any of the following criteria led The training sessions were supervised by trained researchers to exclusion: (1) conditions that precluded stepping exercise https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 9 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al (severe spasticity that prevents a person from taking a full step Assessments  or severe musculoskeletal injury), (2) excessive fatigue that Table 2 illustrates the assessments used for the first and second prevented training participation, and (3) exercise intolerance studies.  that prevented training participation. Table 2. Study assessments. Category Explanation Feasibility Training adherence and attrition rate Compliance with training sessions Participants lost at follow-up (dropouts) Usability System Usability Scale Reliable and valid tool providing a global view of subjective usabil- ity [84-86] A score of at least 70 for an “acceptable” solution, below 50 is “unacceptable,” and 50-70 is “marginally acceptable” [86] 10 items (5-point Likert Scale), score range 0-100 Flow Short Scale Used to retrospectively get a typical flow-score for specific kinds of actions or situations [87] 13 items (7-point Likert Scale), score range 1-7 Dimensions: flow (items 1-10), fluency (item 2, 4, 5, 7, 8, and 9), absorption (items 1, 3, 6, and 10), and perceived importance (items 11-13) Game Flow questionnaire Derived from the Sweetser and Wyeth [53] “Game Flow” model, which determines the key elements of player enjoyment 17 items (6-point Likert Scale), score range 1-6 7 main items (items 1-7) building the dimension Game Flow and 10 additional explorative exergame-specific items (items 8-17) Feasibility and usability Guideline-based interview Qualitative evaluation of the user’s game play experiences Categories: (1) overall experience, (2) game scenario, (3) Dividat Senso plate (game controller), (4) body and mind, (5) motivation, (6) training, (7) comparison to conventional movement therapy, and (8) others Video recording and monitoring protocol Exergame performance Same categories as for the interview Training parameters Physical and cognitive exertion Modified Borg Scale from 1 to 10 [88] Number of trainings Range from 4 to 8 trainings Training time How long participants trained per session Play preferences How often each exergame was played An effect size of 0.10–0.29 indicates a small effect, an effect Data Analysis size of 0.30–0.49 indicates a medium effect, and r≥0.50 indicates For quantitative data, statistical analysis was conducted using a large effect [89]. The interviews were assessed by 5 of the SPSS (IBM SPSS 26). The level of significance was set at authors (1 game researcher and 4 movement scientists) following P<.05. The data were compared using the Wilcoxon signed-rank an iterative thematic coding approach based on qualitative test, as the assumptions for parametric statistics were not met content analysis [90]. For all interviews, the coders individually (nonnormally distributed data). The effect size (r) was calculated transcribed and coded the data according to the categories of using the following equation [89]: the interview guidelines. In 2 iterations, the coders discussed the emerging results until an agreement was reached. Finally, r = z/√ (N) two of the authors (1 game researcher and 1 movement scientist) further summarized the findings. A preliminary explorative https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 10 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al analysis was conducted on the observation protocols and videos, release, and scheduling conflicts. In total, participants completed but for the purpose of this paper, they were only used to check 70 training sessions (mean 4.8 training per participant, SD 1.1) certain findings from the interview analysis.  with the exergames. Of the 25 patients with MS, 4 patients with MS missed a training session once and 1 patient with MS missed Results a training session twice, leading to an attendance rate of 95% (120/126). The reasons for missed training were overload and Participants fatigue after training, illness, absence, date conflict, and holiday. Considering the game preferences in the second study, the The participant characteristics are shown in Table 3. At the participants mostly played Ladybug (1.51 sessions per training), beginning of the second study, 29 patients with MS were followed by Scooper (1.19 sessions per training), and the least included, while 4 patients with MS dropped out (attrition rate: Cloudy (0.91 sessions per training). Overall, no adverse events 4/29, 14%) during the study period. The reasons for dropout were recorded in the first and second studies.  were disease-related weakness, physical condition, early clinical Table 3. Baseline and training data characteristics. Characteristics Study 1 (N=16) Study 2 (N=25) Gender, n (%) Female 10 (62) 15 (60) Male 6 (38) 10 (40) Age (years), mean (SD) 62.1 (13.0) 57.3 (11.2) Types of MS , n (%) 7 (44) 11 (44) RR 2 (12) 10 (40) SP 7 (44) 3 (12) PP Not applicable 0 (0) 1 (4) Therapy stay, n (%) Ambulant 16 (100) 19 (76) Stationary 0 (0) 6 (24) Diagnosis since (years), mean (SD) 22.73 (13.1) 16.6 (11.7) 33.2 (16.7) 34.3 (15.0) MSIS , mean (SD) MSIS physical, mean (SD) 34.2 (20.1) 36.2 (15.5) MSIS psychological, mean (SD) 29.7 (23.0) 32.1 (19.2) 74.7 (11.7) 69.4 (18.2) ABC , mean (SD) Exergame experience, n (%) 2 (13) 10 (40) Number of trainings per participant, mean (SD) 1 (0) 4.8 (1.1) Training time per session (min), mean (SD) 15 (0) 19.1 (3.9) Borg motor, mean (SD) 3.3 (1.2) 3.8 (1.8) Borg cognitive, mean (SD) 4.0 (1.8) 3.5 (1.9) MS: multiple sclerosis. RR: relapsing-remitting. SP: secondary-progressive. PP: primary-progressive. MSIS: multiple sclerosis impact scale. ABC: Activities-specific Balance Confidence scale. Quantitative Data In the first study, the median SUS score was 71.3 (IQR 58.8-80.0). The SUS and questionnaire pre-post comparisons of the second study are presented in Table 4. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 11 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Table 4. Questionnaire data (N=25). Pre, median (IQR) Post, median (IQR) z P value r Questionnaires System Usability Scale 89.7 (78.8-95.0) 82.5 (77.5-90.0) −2.077 0.42 5.9 (4.6-6.4) 5.8 (5.4-6.2) −0.400 .69 0.08 Flow Short Scale Fluency 5.7 (4.4-6.6) 5.6 (4.8-6.6) −0.325 .75 0.07 Absorption 5.8 (5.1-6.5) 6.0 (5.1-6.6) −0.485 .63 0.10 d b 2.0 (1.5-3.8) 1.3 (1.0-3.5) −2.118 0.42 Perceived importance .03 5.0 (4.7-5.3) 5.1 (4.9-5.3) −0.473 .64 0.09 Game Flow Concentration 5.0 (5.0-6.0) 6.0 (5.0-6.0) −0.775 .44 0.16 Challenge 4.0 (2.5-4.5) 4.0 (3.0-4.8) −0.210 .83 0.04 Skills or abilities 5.0 (4.0-5.0) 5.0 (4.0-5.0) −0.277 .78 0.06 Control 5.0 (4.5-5.0) 5.0 (4.5-6.0) −0.732 .46 0.15 Aim 6.0 (6.0-6.0) 6.0 (6.0-6.0) −0.816 .41 0.16 Feedback 6.0 (5.0-6.0) 6.0 (6.0-6.0) −1.030 .30 0.21 Immersion 5.0 (5.0-6.0) 5.0 (5.0-6.0) −0.811 .42 0.16 Pleasure and liking 6.0 (5.0-6.0) 6.0 (5.0-6.0) −0.264 .79 0.05 1.0 (1.0-2.5) 1.0 (1.0-2.0) −0.577 .56 0.12 Dual flow over—challenge 1.0 (1.0-3.0) 2.0 (1.0-2.8) −0.418 .68 0.08 Dual flow under—challenge System control 5.0 (4.3-5.0) 5.0 (5.0-6.0) −1.604 .11 0.32 Movement 5.0 (5.0-6.0) 5.0 (5.0-6.0) −0.351 .73 0.07 Motivation 6.0 (5.0-6.0) 6.0 (5.0-6.0) −0.816 .41 0.16 4.0 (2.0-5.0) 4.0 (2.0-5.0) −0.158 .88 0.03 Physical exertion 3.0 (2.0-4.5) 3.0 (2.0-4.0) −0.042 .97 0.01 Cognitive exertion Optimal challenge 5.0 (4.0-5.0) 4.0 (4.0-5.0) −0.842 .40 0.17 Spatial presence 5.0 (3.5-6.0) 5.0 (4.0-6.0) −0.361 .72 0.07 Data were analyzed using Wilcoxon signed-rank test. P<.05. The higher the scores, the better the results. This counts for all items that are not specifically marked. The lower the scores, the better the results. The more in the middle field, the better the results. of body and mind, participants clearly focused on the virtual Qualitative Data gaming world, which distracted them from physical exertion Findings from the guideline-based interviews of both studies and made it seem very pleasant, albeit challenging, but by no are reported for overall experience (Figure 9), body and mind means overstraining (Figure 10). By immersing in the game (Figure 10), games, gameplay experience, and hardware (Figure world, patients were able to forget their everyday worries (often 11), motivation (Figure 12), and the comparison of exergames associated with the disease) for the moment (Figure 10). with conventional therapy (Figure 13). Regarding the potential use of exergames as a therapeutic device, most participants saw the added value of the novel In summary, all participants reported an enjoyable, motivating, training solution in terms of distraction from everyday life, fun, varied, and fun experience with the exergames, which was a and the combined body and brain training approach, even though completely new thing for most of them (Figure 9, Figure 11, traditional therapy measures were also described very positively and 12). They also reported that, in addition to having a lot of and were difficult to compare (Figure 13). A complementary fun while being challenged, they felt a clear improvement in integration of the exergames into therapy could be imagined the handling (coordination and physical interaction) of the new very well by all patients. Further development of the exergames technology over time (Figures 10 and 11), which made them over the 2 studies was also perceived positively. feel more confident in using it (Figures 9 and 11). On the level https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 12 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 9. Interview data focusing on overall experience. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 13 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 10. Interview data focusing on body and mind. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 14 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 11. Interview data focusing on games, gameplay experience, and hardware. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 15 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 12. Interview data focusing on motivation. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 16 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Figure 13. Interview data focusing on the comparison of exergames with conventional therapy. (Some and minority = at least 30% of the participants; many = at least 50% of the participants; most and majority = at least 80% of the participants). human movement sciences, neuropsychology, and game Discussion research, as well as practical skills from game design. Furthermore, this iterative and participatory design process was Overview carried out in close collaboration with patients with MS and This project aimed to contribute specifically to (1) develop their therapists.  research-based, iterative, and co-designed user-centered In the following sections, the quantitative and qualitative results exergames for patients with MS and (2) determine the usability of the user studies are discussed and set in the context of related and feasibility of the newly developed exergames. This was work and knowledge in game research and movement science, only possible by incorporating the theoretical background from https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 17 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al as well as research in the field of MS. Quantitative and brings very different previous experiences in using technology qualitative data revealed certain exergame elements that are [96]. Thus, even for older adult patients without previous specific to patients with MS and can become key features for technology use, the exergames need to be self-explanatory and the further development of user-centered exergames for this easy to use (including help from therapists). In terms of the heterogeneous target group. An outlook on future approaches system’s usability in the heterogeneous study group, the in user-centered MS-specific exergame development and iterative, participative, and interdisciplinary design process of research will be provided. this project was very successful as the SUS increased from study 1 to study 2. In study 2, the SUS dropped from pre- to Shift of Focus postmeasurement. The novelty of the exergame might have After the second study, patients often reported a shift in their distracted patients’ focus away from the usability barriers, focus from the physical to the cognitive level when playing explaining the high SUS score at the premeasurement. exergames. Some patients even reported a shift of focus from Furthermore, with each additional session, participants had more their impairments to their actual skills and abilities, which they time to test the system and explore usability barriers. found to increase over the period studied. A study in older adults Nevertheless, the SUS in study 2 remained at a level that can showed that exergame training increased the participants’ be described as a usable exergame system for patients with MS confidence and research connected this confidence with [86,97]. increased self-efficacy [91,92]. One participant could even use Training Motivation and Challenges advanced training methods in his regular therapy at the end of the second study. The exergames allowed the patients a sense Most patients were motivated to train by exergames and enjoyed of control over their tasks, as described by Sweetser and Wyeth the requirement of physical activity for playing them. This is [53]. The more familiar participants became with the exergames in line with a previous study that interviewed patients with MS and the more they trained their own gameplay strategies and about Nintendo Wii Fit [39]. However, due to the user-centered body movements, the more secure, confident, immersed, development steps and therapy focus, it may be that the training absorbed, and “in the flow” they became with the exergame. motivation was even higher than in studies that used The flow feeling was described not only in the interviews but conventional exergames [48]. One of the main motivational also in the FSS and Game Flow questionnaire, illustrated by a drivers was to improve the player’s body functions, to be high rating in several questionnaire items as well as by a immersed in another world, and to be distracted from daily life significant decrease in the questionnaire item perceived for the duration of the exergame session [53]. Interestingly, importance. The decreased perceived importance item seems interviews revealed that most patients preferred more to indicate that the gaming challenge of the exergames was more challenging games (but still not overchallenging). This was also enjoyable, as patients have attached less importance to the reflected in the number of sessions in which patients chose to gaming outcomes [93]. This might have been caused by the play the most challenging exergames. This challenging situation, shift of focus, the increased sense of control, the familiarization in combination with the skill balance of the exergames, may process, and higher flow feeling. Furthermore, some patients have facilitated the abovementioned flow state during the reported that gaming time distracted them from their daily-life training sessions [98]. Exergames should provide individually problems and their MS-related impairments. This is in line with challenging but still feasible gaming experiences to increase the findings of related studies [53,91,94]. training motivation and therefore possible training-related improvements [53]. To maintain their motivation, patients also Heterogeneity of Patients With MS  wished for more challenging and different games or levels over The heterogeneity of patients with MS, including the individual time in future trials. course of the disease (eg, wide range of symptoms and Training Intensity and Progress unpredictable flare-ups), as well as demographic details (eg, wide range of age), was also reflected in the interviews. Patients An exergame should be able to adapt to the individual patient reported that game content, challenge, and progression should at a physical and cognitive level to meet the heterogeneous and always be adaptable to their individual physical, cognitive, and individual requirements of patients with MS and to allow for mental requirements and their daily form [51,72,95]. Therefore, an optimal training zone [51,95]. For this reason, the design an exergame for patients with MS should allow an individually integrated individual levels for physical and cognitive functions adaptive training focus, taking into account physical, cognitive, into the exergames, allowing for an individually challenging and mental aspects, to correspond with the heterogeneity and game for patients with MS. To extend the playfulness and fluctuations of the disease pattern. The exergames covered 3 effectiveness of the exergames in the future, the assessment of different types of game control and content; each exergame certain motor and cognitive parameters (objective) or rating included 3 levels for motor and cognitive functions. Another scales (subjective) could help to define an individual training relevant aspect is security, especially in therapeutic area [99-102]. The integration of in-exergame, real-time environments [72]. In this project, the patients could use the adaptation could help to maintain a predefined optimal training handrail to support exergame performance due to the insecurity zone in a training session and over a longer period (progression) of their physical stability and capacity. This security support [51,102,103]. In this project, participants had to rate each was greatly appreciated, as presented in the results of our study. training session for physical and cognitive perceived exertion, Overall, no adverse events were recorded during the entire allowing the training load to be adapted for the upcoming duration of the project. The wide age range in patients with MS sessions. The results of the perceived exertion ratings showed https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 18 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al that the newly developed exergames allowed for a moderate exergames, whereas they trained multiple times in the second training load on the cognitive and physical levels in a single study. Therefore, participants might have had the chance to training session and over the training period. For aerobic and reflect more on and better familiarize themselves with the games strength exercises, moderate training is recommended in patients in the second study, while they had only one attempt in the first with MS [104]. However, it is possible that high training study. Additionally, their feedback might have been influenced intensities, such as those used in high-intensity interval training, by the novelty effect. Furthermore, study testing was conducted might be even more beneficial [105]. Nevertheless, a moderate at various clinics and institutions and it did not focus on training intensity seems to be an appropriate approach for measures of effectiveness. However, it should be emphasized exergames to trigger possible motor learning processes without that these studies should be conducted in the context of negatively influencing movement execution in patients with developing a complex intervention for health care settings. MS [68,81]. Within this context, intervention development contains different mandatory steps that should be taken in a sequential order [107]. Exergame as an MS Therapy Tool  In that sense, this study reflects a preintervention stage in which Interviews showed a strong acceptance of the exergames by important principles and necessary actions for this stage were patients (even in the first study). The majority would welcome considered [107]. These findings justify continuing with studies the integration of exergames into their conventional therapy that focus on the outputs and effects in clinical trials [107]. because of their appealing nature and beneficial motor-cognitive Conclusions training approach [40,106]. The combined training regimen allows for the concurrent processing and synchronization of The aim of the presented research and development work was cognitive and motor stimuli and therefore can trigger brain-body to take the first step in the new field of user-centered exergames communication. Patients with MS can have impaired dual- or for patients with MS, to evaluate the usability and feasibility of multi-task performance due to possible deficits in divided the newly developed exergame concepts, to learn from the attention, resource capacity overload, or differential neural findings, and to derive design guidelines for future research and activation [76-80]. Furthermore, exergames allow the integration development projects in this field. of the patient’s conventional therapy progress in physical and The quantitative and qualitative results of this project showed cognitive functions and provide a daily-life environment in that the developed exergames were usable, feasible, well terms of the combined cognitive-motor training. However, some accepted, and enjoyable for patients with MS. Furthermore, the patients missed the social component and interaction with the results indicated preliminary positive effects regarding the therapists. Therefore, it might be interesting to specifically attractiveness of the newly developed, user-centered exergames. integrate the therapist(s) into the exergame experience by Participants enjoyed the motivating, varied, and fun experience in-exergame interaction, allowing training adaptation and with the exergames, which were both fun and physically as well support. This finding is in line with recent exergame studies in as cognitively challenging and allowing them to forget their patients with MS and older adults that emphasize the importance everyday worries (often associated with the disease) for the of social interaction in exergames to increase training motivation moment. Moreover, specific exergame elements were identified: [91,103]. Moreover, social interaction is a part of the Game control mechanisms through audio-visual design, adaptation of Flow model proposed by Sweetser and Wyeth [53]. Overall, the individual difficulty level, game concept diversity addressing user-centered exergames seem to be a very promising therapy the patients’ heterogeneity, involvement of training principles, tool for patients with MS, considering the abovementioned and considerations of the interaction of physical and cognitive aspects of training and design principles.  impairments, especially brain-body communication. As a next step, further research and development work will Considering the points of discussion and design guidelines, deepen the knowledge of design principles in MS exergames user-centered exergames can be a promising training approach and reveal additional insights. To meet the heterogeneous to improve physical and cognitive functions, especially spectrum of MS and to provide an individually attractive and brain-body communication in patients with MS. Thus, effective training and therapy tool, the newly developed user-centered exergames might have positive effects on quality exergames will be further iterated and extended based on the of life by reducing the risk of falling, mobility restrictions, and findings of the usability and feasibility studies. Furthermore, social isolation. Furthermore, the strengthening of body new types of use will be implemented, such as playing a functions such as balance, coordination, and cognition seems multitask version of the exergames that involve upper-body to be a promising way to break the vicious circle of input movements or sitting in a wheelchair. Moreover, further deconditioning. The evaluation of the effects of a user-centered balancing game mechanics will be implemented, as well as exergame will show how far a user-centered exergame might extending the types of input, movement ranges, and tracking complement or even surpass the results of conventional zone. (exergame) approaches in patients with MS.  Limitations There are some limitations that can be reported for this study. In the first study, participants were trained only once with the https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 19 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Acknowledgments The authors want to thank the Swiss Innovation Agency Innosuisse for funding the project (grant number: 41968.1 IP-LS). Furthermore, they thank their postgraduate student Tiziana Schwarz for instructing trainings and helping with data acquisition. Finally, the authors thank all the patients with MS for their participation in this project and the physiotherapists who supported the studies. Authors' Contributions AMN and AS conceptualized, designed, and drafted the manuscript. EDB and SF contributed substantially to the conception and design of the manuscript. AMN, AS, SB, SH, and YH created the study design, compiled the training protocols, and selected the assessment methods for the first study. SH conducted the study (supervised by AMN, AS, and RS). For the second study, AMN, AM, AS, BF, SB, and YH created the study design, compiled the training protocols, and selected the assessment methods. AM and BF conducted the study (supervised by AMN, AS, RS, and SF). SB and YH designed the exergame environments for both studies (supported by AMN, RB, and UG). AMN and AS led data analysis and interpretation; EDB and SF contributed to the latter. All authors critically reviewed and approved the final manuscript. Conflicts of Interest EDB was a cofounder of Dividat, the spin-off company that developed the exergame plate used in this study, and is associated with the company as an external advisor. No revenue was paid (or promised to be paid) directly to EDB or his institution over the 36 months before the submission of the work. References 1. Wallin MT, Culpepper WJ, Nichols E, Bhutta ZA, Gebrehiwot TT, Hay SI, et al. Global, regional, and national burden of multiple sclerosis 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology 2019 Mar;18(3):269-285. [doi: 10.1016/s1474-4422(18)30443-5] 2. Hemmer B, Nessler S, Zhou D, Kieseier B, Hartung H. Immunopathogenesis and immunotherapy of multiple sclerosis. Nat Rev Neurol 2006 Apr;2(4):201-211. [doi: 10.1038/ncpneuro0154] 3. Hauser SL, Chan JR, Oksenberg JR. Multiple sclerosis: Prospects and promise. Ann Neurol 2013 Oct 09;74(3):317-327. [doi: 10.1002/ana.24009] 4. Filippi M, Bar-Or A, Piehl F, Preziosa P, Solari A, Vukusic S, et al. Multiple Sclerosis. Nat Rev Dis Primers 2018 Nov 08;4(43):1-27. [doi: 10.1038/s41572-018-0046-z] 5. Hauser S, Oksenberg L, Baranzini S. Multiple Sclerosis. In: Rosenberg's Molecular and Genetic Basis of Neurological and Psychiatric Disease (5th Edition). London: Academic Press Elsevier; 2015:1001-1014. 6. Compston A, McDonald I, Noseworthy J, Lassmann H, Miller D, Smith K, et al. McAlpine's Multiple Sclerosis (4th Edition). London: Churchill Livingstone Elsevier; 2005. 7. Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. The Lancet Neurology 2008 Dec;7(12):1139-1151. [doi: 10.1016/s1474-4422(08)70259-x] 8. Benito-León J, Manuel Morales J, Rivera-Navarro J, Mitchell AJ. A review about the impact of multiple sclerosis on health-related quality of life. Disability and Rehabilitation 2003;25(23):1291-1303. [doi: 10.1080/09638280310001608591] 9. Motl RW, McAuley E. Symptom Cluster and Quality of Life: Preliminary Evidence in Multiple Sclerosis. Journal of Neuroscience Nursing 2010;42(4):212-216. [doi: 10.1097/jnn.0b013e3181e26c5f] 10. Stolze H, Klebe S, Zechlin C, Baecker C, Friege L, Deuschl G. Falls in frequent neurological diseases. Journal of Neurology 2004;251(1):79-84. [doi: 10.1007/s00415-004-0276-8] 11. Beghi E, Gervasoni E, Pupillo E, Bianchi E, Montesano A, Aprile I, et al. Prediction of Falls in Subjects Suffering From Parkinson Disease, Multiple Sclerosis, and Stroke. Arch Phys Med Rehabil 2018;99(4):641-651. [doi: 10.1016/j.apmr.2017.10.009] [Medline: 29102438] 12. Sosnoff J, Gappmaier E, Frame A, Motl R. Influence of spasticity on mobility and balance in persons with multiple sclerosis. J Neurol Phys Ther 2011;35(3):129-132. [doi: 10.1097/NPT.0b013e31822a8c40] [Medline: 21934374] 13. Flachenecker P, Henze T, Zettl UK. Spasticity in patients with multiple sclerosis--clinical characteristics, treatment and quality of life. Acta Neurol Scand 2014;129(3):154-162. [doi: 10.1111/ane.12202] [Medline: 24256407] 14. Gullo HL, Fleming J, Bennett S, Shum DH. Cognitive and physical fatigue are associated with distinct problems in daily functioning, role fulfilment, and quality of life in multiple sclerosis. Mult Scler Relat Disord 2019;31:118-123. [doi: 10.1016/j.msard.2019.03.024] [Medline: 30981190] 15. Motl R. Physical activity and irreversible disability in multiple sclerosis. Exerc Sport Sci Rev 2010;38(4):186-191. [doi: 10.1097/JES.0b013e3181f44fab] [Medline: 20871235] 16. Motl RW, McAuley E, Snook EM. Physical activity and multiple sclerosis: a meta-analysis. Mult Scler 2005;11(4):459-463. [doi: 10.1191/1352458505ms1188oa] [Medline: 16042230] 17. Kobelt G. Health economic issues in MS. Int MS J 2006;13(1):17-26, 16. [Medline: 16420781] https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 20 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al 18. Kobelt G, Berg J, Lindgren P, Fredrikson S, Jönsson B. Costs and quality of life of patients with multiple sclerosis in Europe. J Neurol Neurosurg Psychiatry 2006;77(8):918-926 [FREE Full text] [doi: 10.1136/jnnp.2006.090365] [Medline: 16690691] 19. Latimer-Cheung AE, Pilutti LA, Hicks AL, Martin Ginis KA, Fenuta AM, MacKibbon KA, et al. Effects of Exercise Training on Fitness, Mobility, Fatigue, and Health-Related Quality of Life Among Adults With Multiple Sclerosis: A Systematic Review to Inform Guideline Development. Archives of Physical Medicine and Rehabilitation 2013;94(9):1800-1828.e3. [doi: 10.1016/j.apmr.2013.04.020] 20. Motl RW, Pilutti LA. The benefits of exercise training in multiple sclerosis. Nat Rev Neurol 2012;8(9):487-497. [doi: 10.1038/nrneurol.2012.136] 21. Pilutti LA, Platta ME, Motl RW, Latimer-Cheung AE. The safety of exercise training in multiple sclerosis: A systematic review. Journal of the Neurological Sciences 2014;343(1-2):3-7. [doi: 10.1016/j.jns.2014.05.016] 22. Dardiotis E, Nousia A, Siokas V, Tsouris Z, Andravizou A, Mentis AA, et al. Efficacy of computer-based cognitive training in neuropsychological performance of patients with multiple sclerosis: A systematic review and meta-analysis. Multiple Sclerosis and Related Disorders 2018;20:58-66. [doi: 10.1016/j.msard.2017.12.017] 23. Hancock LM, Bruce JM, Bruce AS, Lynch SG. Processing speed and working memory training in multiple sclerosis: A double-blind randomized controlled pilot study. Journal of Clinical and Experimental Neuropsychology 2015;37(2):113-127. [doi: 10.1080/13803395.2014.989818] 24. Bonavita S, Sacco R, Della Corte M, Esposito S, Sparaco M, d'Ambrosio A, et al. Computer-aided cognitive rehabilitation improves cognitive performances and induces brain functional connectivity changes in relapsing remitting multiple sclerosis patients: an exploratory study. J Neurol 2015;262(1):91-100. [doi: 10.1007/s00415-014-7528-z] [Medline: 25308631] 25. Parsons TD. Virtual Reality for Enhanced Ecological Validity and Experimental Control in the Clinical, Affective and Social Neurosciences. Front Hum Neurosci 2015;9:660 [FREE Full text] [doi: 10.3389/fnhum.2015.00660] [Medline: 26696869] 26. Oh Y, Yang S. Proceedings of Meaningful Play 2010:1-17. 27. Witherspoon L. ACSM Information on Exergaming. American College of Sports Medicine 2013:1. 28. Mueller F, Khot RA, Gerling K, Mandryk R. Exertion Games. FNT in Human–Computer Interaction 2016;10(1):1-86. [doi: 10.1561/1100000041] 29. Martin-Niedecken A, Mekler E. The ExerCube: Participatory Design of an Immersive Fitness Game Environment. 2018 Presented at: Joint International Conference on Serious Games; 2018; Darmstadt, Germany. [doi: 10.1007/978-3-030-02762-9_28] 30. Martin A, Götz U, Bauer R. Development of task-specific RehabGame settings for robot-assisted pédiatrie movement therapies. 2014 Presented at: IEEE Games Media Entertainment; 2014; Toronto, ON, Canada. [doi: 10.1109/GEM.2014.7048090] 31. Martin A, Götz U, Bauer R. “Gabarello v.1.0” and “Gabarello v.2.0”: Development of motivating rehabilitation games for robot-assisted locomotion therapy in childhood. 2014 Presented at: Games for Health; 2014; Boston p. 101-104. [doi: 10.1007/978-3-658-07141-7_13] 32. Kajastila R, Hämäläinen P. Motion games in real sports environments. interactions 2015 Feb 25;22(2):44-47. [doi: 10.1145/2731182] 33. Martin-Niedecken A, Marquez Segura E, Rogers K, Niedecken S, Turmo Vidal L. Towards Socially Immersive Fitness Games: An Exploratory Evaluation Through Embodied Sketching. 2019 Presented at: CHI PLAY; 2019; Barcelona p. 525-534. [doi: 10.1145/3341215.3356293] 34. Martin-Niedecken A, Rogers K, Turmo Vidal L, Mekler E, Marquez Segura E. ExerCube vs. Personal Trainer: Evaluating a Holistic, Immersive, and Adaptive Fitness Game Setup. 2019 Presented at: CHI Conference on Human Factors in Computing Systems; 2019; Glasgow p. 1-15. [doi: 10.1145/3290605.3300318] 35. Stojan R, Voelcker-Rehage C. A Systematic Review on the Cognitive Benefits and Neurophysiological Correlates of Exergaming in Healthy Older Adults. JCM 2019;8(5):734. [doi: 10.3390/jcm8050734] 36. Sween J, Wallington S, Sheppard V, Taylor T, Llanos A, Adams-Campbell L. The role of exergaming in improving physical activity: a review. J Phys Act Health 2014;11(4):864-870 [FREE Full text] [doi: 10.1123/jpah.2011-0425] [Medline: 25078529] 37. Byrne AM, Kim M. The Exergame as a Tool for Mental Health Treatment. Journal of Creativity in Mental Health 2019;14(4):465-477. [doi: 10.1080/15401383.2019.1627263] 38. Thomas S, Fazakarley L, Thomas P, Collyer S, Brenton S, Perring S, et al. Mii-vitaliSe: a pilot randomised controlled trial of a home gaming system (Nintendo Wii) to increase activity levels, vitality and well-being in people with multiple sclerosis. BMJ Open 2017;7(9):1-16 [FREE Full text] [doi: 10.1136/bmjopen-2017-016966] [Medline: 28954791] 39. Forsberg A, Nilsagård Y, Boström K. Perceptions of using videogames in rehabilitation: a dual perspective of people with multiple sclerosis and physiotherapists. Disabil Rehabil 2015;37(4):338-344 [FREE Full text] [doi: 10.3109/09638288.2014.918196] [Medline: 24833535] https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 21 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al 40. Mura G, Carta M, Sancassiani F, Machado S, Prosperini L. Active exergames to improve cognitive functioning in neurological disabilities: a systematic review and meta-analysis. European Journal of Physical and Rehabilitation Medicine 2017;54(3):450-462. [doi: 10.23736/s1973-9087.17.04680-9] 41. Kramer A, Dettmers C, Gruber M. Exergaming With Additional Postural Demands Improves Balance and Gait in Patients With Multiple Sclerosis as Much as Conventional Balance Training and Leads to High Adherence to Home-Based Balance Training. Archives of Physical Medicine and Rehabilitation 2014;95(10):1803-1809. [doi: 10.1016/j.apmr.2014.04.020] 42. Nilsagård Y, Forsberg A, von Koch L. Balance exercise for persons with multiple sclerosis using Wii games: a randomised, controlled multi-centre study. Mult Scler 2013;19(2):209-216 [FREE Full text] [doi: 10.1177/1352458512450088] [Medline: 22674972] 43. Prosperini L, Fortuna D, Giannì C, Leonardi L, Marchetti MR, Pozzilli C. Home-Based Balance Training Using the Wii Balance Board. Neurorehabil Neural Repair 2013;27(6):516-525. [doi: 10.1177/1545968313478484] 44. Brichetto G, Spallarossa P, de Carvalho MLL, Battaglia MA. The effect of Nintendo® Wii® on balance in people with multiple sclerosis: a pilot randomized control study. Mult Scler 2013;19(9):1219-1221. [doi: 10.1177/1352458512472747] 45. Prosperini L, Fanelli F, Petsas N, Sbardella E, Tona F, Raz E, et al. Multiple Sclerosis: Changes in Microarchitecture of White Matter Tracts after Training with a Video Game Balance Board. Radiology 2014;273(2):529-538. [doi: 10.1148/radiol.14140168] 46. Robinson J, Dixon J, Macsween A, van Schaik P, Martin D. The effects of exergaming on balance, gait, technology acceptance and flow experience in people with multiple sclerosis: a randomized controlled trial. BMC Sports Sci Med Rehabil 2015;7(1):8 [FREE Full text] [doi: 10.1186/s13102-015-0001-1] [Medline: 25969739] 47. Stanmore E, Stubbs B, Vancampfort D, de Bruin ED, Firth J. The effect of active video games on cognitive functioning in clinical and non-clinical populations: A meta-analysis of randomized controlled trials. Neuroscience & Biobehavioral Reviews 2017;78:34-43. [doi: 10.1016/j.neubiorev.2017.04.011] 48. Taylor M, Griffin M. The use of gaming technology for rehabilitation in people with multiple sclerosis. Mult Scler 2014;21(4):355-371. [doi: 10.1177/1352458514563593] 49. Pau M, Coghe G, Corona F, Leban B, Marrosu MG, Cocco E. Effectiveness and Limitations of Unsupervised Home-Based Balance Rehabilitation with Nintendo Wii in People with Multiple Sclerosis. Biomed Res Int 2015:1-8 [FREE Full text] [doi: 10.1155/2015/916478] [Medline: 26583146] 50. Wüest S, van de Langenberg R, de Bruin ED. Design considerations for a theory-driven exergame-based rehabilitation program to improve walking of persons with stroke. Eur Rev Aging Phys Act 2014;11(2):119-129 [FREE Full text] [doi: 10.1007/s11556-013-0136-6] [Medline: 25309631] 51. Hardy S, Dutz T, Wiemeyer J, Göbel S, Steinmetz R. Framework for personalized and adaptive game-based training programs in health sport. Multimed Tools Appl 2014;74(14):5289-5311. [doi: 10.1007/s11042-014-2009-z] 52. Benzing V, Schmidt M. Exergaming for Children and Adolescents: Strengths, Weaknesses, Opportunities and Threats. J Clin Med 2018;7(11):422 [FREE Full text] [doi: 10.3390/jcm7110422] [Medline: 30413016] 53. Sweetser P, Wyeth P. GameFlow: a model for evaluating player enjoyment in games. Computers in Entertainment 2005;3(3):3-3. [doi: 10.1145/1077246.1077253] 54. Hoffmann K. , J. Wiemeyer, and S. Hardy, Prediction and control of the individual Heart Rate response in Exergames. 2016 Presented at: Proceedings of the 10th International Symposium on Computer Science in Sports (Iscss); 2016; Loughborough, UK p. 171-178. [doi: 10.1007/978-3-319-24560-7_22] 55. Sinclair J, Hingston P, Masek M. Considerations for the design of exergames. 2007 Presented at: GRAPHITE '07: Proceedings of the 5th international conference on Computer graphics and interactive techniques; 2007; Australia and Southeast Asia p. 289-295. [doi: 10.1145/1321261.1321313] 56. Segura E, Turmo Vidal L, Rostami A, Waern A. Embodied Sketching. 2016 Presented at: CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems; 2016; San Jose, CA, USA p. 6014-6027. [doi: 10.1145/2858036.2858486] 57. Isbister K, Mueller. Guidelines for the Design of Movement-Based Games and Their Relevance to HCI. Human–Computer Interaction 2014;30(3-4):366-399. [doi: 10.1080/07370024.2014.996647] 58. IJsselsteijn W, de Kort Y, Poels K, Jurgelionis A, Bellotti F. Characterising and Measuring User Experiences in Digital Games. 2007 Presented at: International conference on advances in computer entertainment technology; 2007; Salzburg Austria. 59. Gerling K, Schild J, Masuch M. Exergame Design for Elderly Users: The Case Study of SilverBalance. 2010 Presented at: ACE '10: Proceedings of the 7th International Conference on Advances in Computer Entertainment Technology; 2010; Taipei Taiwan p. 66-69. [doi: 10.1145/1971630.1971650] 60. Gibson A, Wagner D, Heyward V. Advanced Fitness Assessment and Exercise Prescription. Champaign, IL: Human kinetics; 2019. 61. Hoffman J. Physiological aspects of sport training and performance. Champaign, IL: Human kinetics; 2014. 62. Healy AF, Kole JA, Bourne LE. Training principles to advance expertise. Front Psychol 2014;5:131 [FREE Full text] [doi: 10.3389/fpsyg.2014.00131] [Medline: 24600425] https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 22 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al 63. Martin-Niedecken A, Götz U. Design and Evaluation of a Dynamically Adaptive Fitness Game Environment for Children and Young Adolescents. 2016 Presented at: CHI PLAY Companion '16; 2016; Austin Texas USA p. 205-212. [doi: 10.1145/2968120.2987720] 64. Martin-Niedecken A, Götz U. Go with the Dual Flow: Evaluating the Psychophysiological Adaptive Fitness Game Environment “Plunder Planet”. 2017 Presented at: Joint International Conference on Serious Games; 2017; Valencia, Spain p. 32-43. [doi: 10.1007/978-3-319-70111-0_4] 65. Martin-Niedecken A. Designing for bodily interplay: engaging with the adaptive social exertion game "plunder planet". 2018 Presented at: Interaction Design and Children; 2018; Trondheim, Norway p. 19-30. [doi: 10.1145/3202185.3202740] 66. Read JL, Shortell SM. Interactive games to promote behavior change in prevention and treatment. JAMA 2011;305(16):1704-1705. [doi: 10.1001/jama.2011.408] [Medline: 21447802] 67. Martin-Niedecken A, Rogers K, Turmo Vidal L, Mekler E, Marquez Segura E. ExerCube vs. Personal Trainer: Evaluating a Holistic, Immersive, and Adaptive Fitness Game Setup. 2019 Presented at: CHI; 2019; Glasgow Scotland Uk p. 1-15. [doi: 10.1145/3290605.3300318] 68. Bacmeister C, Barr H, McClain C, Thornton M, Nettles D, Welle C, et al. Motor learning promotes remyelination via new and surviving oligodendrocytes. Nat Neurosci 2020;23(7):819-831 [FREE Full text] [doi: 10.1038/s41593-020-0637-3] [Medline: 32424285] 69. Pasch M, Bianchi-Berthouze N, van Dijk B, Nijholt A. Movement-based sports video games: Investigating motivation and gaming experience. Entertainment Computing 2009;1(2):49-61. [doi: 10.1016/j.entcom.2009.09.004] 70. Shafer DM, Carbonara CP, Popova L. Controller Required? The Impact of Natural Mapping on Interactivity, Realism, Presence, and Enjoyment in Motion-Based Video Games. Presence: Teleoperators and Virtual Environments 2014;23(3):267-286. [doi: 10.1162/pres_a_00193] 71. Denisova A, Caims P. First Person vs. Third Person Perspective in Digital Games: Do Player Preferences Affect Immersion? 2015 Presented at: CHI; 2015; Seoul Republic of Korea p. 145-148. [doi: 10.1145/2702123.2702256] 72. Wiemeyer J, Deutsch J, Malone LA, Rowland JL, Swartz MC, Xiong J, et al. Recommendations for the Optimal Design of Exergame Interventions for Persons with Disabilities: Challenges, Best Practices, and Future Research. Games for Health Journal 2015;4(1):58-62. [doi: 10.1089/g4h.2014.0078] 73. Hauser SL, Oksenberg JR. The Neurobiology of Multiple Sclerosis: Genes, Inflammation, and Neurodegeneration. Neuron 2006;52(1):61-76. [doi: 10.1016/j.neuron.2006.09.011] 74. White LJ, Dressendorfer RH. Exercise and Multiple Sclerosis. Sports Medicine 2004;34(15):1077-1100. [doi: 10.2165/00007256-200434150-00005] 75. Sumowski JF, Benedict R, Enzinger C, Filippi M, Geurts JJ, Hamalainen P, et al. Cognition in multiple sclerosis: State of the field and priorities for the future. Neurology 2018;90(6):278-288. [doi: 10.1212/wnl.0000000000004977] 76. Hamilton F, Rochester L, Paul L, Rafferty D, O'Leary C, Evans J. Walking and talking: an investigation of cognitive—motor dual tasking in multiple sclerosis. Mult Scler 2009;15(10):1215-1227. [doi: 10.1177/1352458509106712] 77. Leone C, Patti F, Feys P. Measuring the cost of cognitive-motor dual tasking during walking in multiple sclerosis. Mult Scler 2015;21(2):123-131. [doi: 10.1177/1352458514547408] [Medline: 25178543] 78. Wajda DA, Motl RW, Sosnoff JJ. Dual task cost of walking is related to fall risk in persons with multiple sclerosis. Journal of the Neurological Sciences 2013;335(1-2):160-163. [doi: 10.1016/j.jns.2013.09.021] 79. Learmonth YC, Ensari I, Motl RW. Cognitive Motor Interference in Multiple Sclerosis: Insights From a Systematic Quantitative Review. Archives of Physical Medicine and Rehabilitation 2017;98(6):1229-1240. [doi: 10.1016/j.apmr.2016.07.018] 80. Wajda DA, Sosnoff JJ. Cognitive-motor interference in multiple sclerosis: a systematic review of evidence, correlates, and consequences. Biomed Res Int 2015:1-8 [FREE Full text] [doi: 10.1155/2015/720856] [Medline: 25839039] 81. Feter N, Freitas M, Gonzales N, Umpierre D, Cardoso R, Rombaldi A. Effects of physical exercise on myelin sheath regeneration: A systematic review and meta-analysis. Science & Sports 2018;33(1):8-21. [doi: 10.1016/j.scispo.2017.06.009] 82. Hobart J, Lamping D, Fitzpatrick R, Riazi A, Thompson A. The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measure. Brain 2001;124(5):962-973. [doi: 10.1093/brain/124.5.962] [Medline: 11335698] 83. Powell LE, Myers AM. The Activities-specific Balance Confidence (ABC) Scale. The Journals of Gerontology 1995;50A(1):M28-M34. [doi: 10.1093/gerona/50a.1.m28] [Medline: 7814786] 84. Brooke J. SUS-A quick and dirty usability scale. Usability evaluation in industry 1996;189(194):4-7. [doi: 10.1201/9781498710411-35] 85. Tullis T, Albert W. Measuring the user experience: collecting, analyzing, and presenting usability metrics. Amsterdam: Elsevier Inc; 2013. 86. Bangor A, Kortum PT, Miller JT. An Empirical Evaluation of the System Usability Scale. International Journal of Human-Computer Interaction 2008;24(6):574-594. [doi: 10.1080/10447310802205776] 87. Rheinberg F, Vollmeyer R, Engeser S. Die Erfassung des Flow-Erlebens. In: Diagnostik von Motivation und Selstkonzept. Göttingen: Hogrefe; 2003:261-279. 88. Borg G. Borg's perceived exertion and pain scales. In: Borg's perceived exertion and pain scales. Champaign, IL: Human kinetics; 1998. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 23 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al 89. Cohen J, Cohen P, West S, Alken L. Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, New Jersey: Lawrence Erlbaum Association; 2003. 90. Mayring P. Qualitative Content Analysis: Theoretical Background and Procedures. In: Approaches to Qualitative Research in Mathematics Education. Advances in Mathematics Education. Dordrecht: Springer; 2015:365-380. 91. Meekes W, Stanmore EK. Motivational Determinants of Exergame Participation for Older People in Assisted Living Facilities: Mixed-Methods Study. J Med Internet Res 2017;19(7):e238. [doi: 10.2196/jmir.6841] 92. Schutzer KA, Graves BS. Barriers and motivations to exercise in older adults. Prev Med 2004;39(5):1056-1061. [doi: 10.1016/j.ypmed.2004.04.003] [Medline: 15475041] 93. Engeser S, editor. Advances in Flow Research. New York: Springer Science+Business Media; 2012. 94. Jennett C, Cox AL, Cairns P, Dhoparee S, Epps A, Tijs T, et al. Measuring and defining the experience of immersion in games. International Journal of Human-Computer Studies 2008;66(9):641-661. [doi: 10.1016/j.ijhcs.2008.04.004] 95. Streicher A, Smeddinck J. Personalized and Adaptive Serious Games. In: Entertainment Computing and Serious Games. Cham: Springer; 2016:332-377. 96. O'brien MA, Rogers WA, Fisk AD. Understanding age and technology experience differences in use of prior knowledge for everyday technology interactions. ACM Trans. Access. Comput 2012;4(2):1-27. [doi: 10.1145/2141943.2141947] 97. Bangor A. , P. Kortum, and J. Miller, Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of usability studies 2009;4(3):114-123. 98. Jackson S, Csikszentmihalyi M. Flow in sports: The keys to optimal experiences and performances. Champaign, IL: Human kinetics; 1999. 99. Meckel Y, Zach S, Eliakim A, Sindiani M. The interval-training paradox: Physiological responses vs. subjective rate of perceived exertion. Physiology & Behavior 2018;196:144-149. [doi: 10.1016/j.physbeh.2018.08.013] 100. Vasilyev V, Borisov V, Syskov A. Biofeedback Methodology: a Narrative Review. 2019 Presented at: International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON); 2019; Novosibirsk, Russia. [doi: 10.1109/sibircon48586.2019.8958019] 101. Smith M, Fransen R, Coutts A. Inducing and assessing cognitive fatigue. 2014 Presented at: European College of Sport Science Annucal Congress; 2014; Amsterdam. 102. Martin-Niedecken A, Schwarz T, Schättin A. Comparing Training Intensity and Experience of an Adaptive Exergame-Based Functional HIIT in the ExerCube Based on Individually Determined Versus Calculated Heart Rate in Healthy Young Adults. Frontiers in Psychology 2021:1-14 (forthcoming). 103. Octavia JR, Coninx K. Adaptive Personalized Training Games for Individual and Collaborative Rehabilitation of People with Multiple Sclerosis. BioMed Research International 2014;2014:1-22. [doi: 10.1155/2014/345728] 104. Kim Y, Lai B, Mehta T, Thirumalai M, Padalabalanarayanan S, Rimmer JH, et al. Exercise Training Guidelines for Multiple Sclerosis, Stroke, and Parkinson Disease. Am J Phys Med Rehabil 2019;98(7):613-621. [doi: 10.1097/phm.0000000000001174] 105. Campbell E, Coulter EH, Paul L. High intensity interval training for people with multiple sclerosis: A systematic review. Multiple Sclerosis and Related Disorders 2018;24:55-63. [doi: 10.1016/j.msard.2018.06.005] 106. Maggio MG, Russo M, Cuzzola MF, Destro M, La Rosa G, Molonia F, et al. Virtual reality in multiple sclerosis rehabilitation: A review on cognitive and motor outcomes. Journal of Clinical Neuroscience 2019;65:106-111. [doi: 10.1016/j.jocn.2019.03.017] 107. O'Cathain A, Croot L, Duncan E, Rousseau N, Sworn K, Turner KM, et al. Guidance on how to develop complex interventions to improve health and healthcare. BMJ Open 2019;9(8):e029954. [doi: 10.1136/bmjopen-2019-029954] Abbreviations CNS: central nervous system FSS: Flow Short Scale MS: multiple sclerosis SUS: System Usability Scale https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 24 (page number not for citation purposes) XSL FO RenderX JMIR SERIOUS GAMES Schättin et al Edited by N Zary; submitted 25.09.20; peer-reviewed by C Werner, L Becker; comments to author 08.12.20; revised version received 03.02.21; accepted 12.02.21; published 07.05.21 Please cite as: Schättin A, Häfliger S, Meyer A, Früh B, Böckler S, Hungerbühler Y, de Bruin ED, Frese S, Steinlin Egli R, Götz U, Bauer R, Martin-Niedecken AL JMIR Serious Games 2021;9(2):e22826 URL: https://games.jmir.org/2021/2/e22826 doi: 10.2196/22826 PMID: 33960956 ©Alexandra Schättin, Stephan Häfliger, Alain Meyer, Barbara Früh, Sonja Böckler, Yannic Hungerbühler, Eling D de Bruin, Sebastian Frese, Regula Steinlin Egli, Ulrich Götz, René Bauer, Anna Lisa Martin-Niedecken. Originally published in JMIR Serious Games (https://games.jmir.org), 07.05.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Serious Games, is properly cited. The complete bibliographic information, a link to the original publication on http://games.jmir.org, as well as this copyright and license information must be included. https://games.jmir.org/2021/2/e22826 JMIR Serious Games 2021 | vol. 9 | iss. 2 | e22826 | p. 25 (page number not for citation purposes) XSL FO RenderX

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Published: May 7, 2021

Keywords: multiple sclerosis; exergame; motor; physical; cognition; usability; feasibility

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