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Affect-Aware Word Clouds

Affect-Aware Word Clouds Word clouds are widely used for non-analytic purposes, such as introducing a topic to students, or creating a gift with personally meaningful text. Surveys show that users prefer tools that yield word clouds with a stronger emotional impact. Fonts and color palettes are powerful typographical signals that may determine this impact. Typically, these signals are assigned randomly, or expected to be chosen by the users. We present an affect-aware font and color palette selection methodology that aims to facilitate more informed choices. We infer associations of fonts with a set of eight affects, and evaluate the resulting data in a series of user studies both on individual words as well as in word clouds. Relying on a recent study to procure affective color palettes, we carry out a similar user study to understand the impact of color choices on word clouds. Our findings suggest that both fonts and color palettes are powerful tools contributing to the affects evoked by a word cloud. The experiments further confirm that the novel datasets we propose are successful in enabling this. We also find that, for the majority of the affects, both signals need to be congruent to create a stronger impact. Based on this data, we implement a prototype that allows users to specify a desired affect and recommends congruent fonts and color palettes for the word. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Interactive Intelligent Systems (TiiS) Association for Computing Machinery

Affect-Aware Word Clouds

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2020 ACM
ISSN
2160-6455
eISSN
2160-6463
DOI
10.1145/3370928
Publisher site
See Article on Publisher Site

Abstract

Word clouds are widely used for non-analytic purposes, such as introducing a topic to students, or creating a gift with personally meaningful text. Surveys show that users prefer tools that yield word clouds with a stronger emotional impact. Fonts and color palettes are powerful typographical signals that may determine this impact. Typically, these signals are assigned randomly, or expected to be chosen by the users. We present an affect-aware font and color palette selection methodology that aims to facilitate more informed choices. We infer associations of fonts with a set of eight affects, and evaluate the resulting data in a series of user studies both on individual words as well as in word clouds. Relying on a recent study to procure affective color palettes, we carry out a similar user study to understand the impact of color choices on word clouds. Our findings suggest that both fonts and color palettes are powerful tools contributing to the affects evoked by a word cloud. The experiments further confirm that the novel datasets we propose are successful in enabling this. We also find that, for the majority of the affects, both signals need to be congruent to create a stronger impact. Based on this data, we implement a prototype that allows users to specify a desired affect and recommends congruent fonts and color palettes for the word.

Journal

ACM Transactions on Interactive Intelligent Systems (TiiS) – Association for Computing Machinery

Published: Nov 8, 2020

Keywords: Affective interfaces

References

  • Perceptual biases in font size as a data encoding
    Alexander, Eric; Chang, Chih-Ching; Shimabukuro, Mariana; Franconeri, Steven; Collins, Christopher; Gleicher, Michael
  • Affective color in visualization
    Bartram, Lyn; Patra, Abhisekh; Stone, Maureen
  • Fonts In Use
    Berlow, Sam; Coles, Stephen; Sherman, Nick
  • Color Psychology and Color Therapy; A Factual Study of the Influence of Color on Human Life
    Birren, Faber
  • Typographic sets: Labelled set elements with font attributes
    Brath, Richard; Banissi, Ebad
  • Lyrics word clouds
    Burch, Michael; Fluck, Tobias; Freund, Julian; Walzer, Thomas; Kloos, Uwe; Weiskopf, Daniel
  • RadCloud: Visualizing multiple texts with merged word clouds
    Burch, Michael; Lohmann, Steffen; Beck, Fabian; Rodriguez, Nils; Di Silvestro, Lorenzo; Weiskopf, Daniel
  • All dressed up with something to say: Effects of typeface semantic associations on brand perceptions and consumer memory
    Childers, Terry L.; Jass, Jeffrey
  • FontMatcher: Font image paring for harmonious digital graphic design
    Choi, Saemi; Aizawa, Kiyoharu; Sebe, Nicu
  • Context preserving dynamic word cloud visualization
    Cui, Weiwei; Wu, Yingcai; Liu, Shixia; Wei, Furu; Zhou, Michelle X.; Qu, Huamin
  • A helping hand: Transfer learning for deep sentiment analysis
    Dong, Xin; de Melo, Gerard
  • Taking word clouds apart: An empirical investigation of the design space for keyword summaries
    Felix, Cristian; Franconeri, Steven; Bertini, Enrico
  • The Effect of Packaging Typeface on Product Perception and Evaluation
    Fligner, Alysha
  • Two studies on how a typeface congruent with content can enhance onscreen communication
    Hazlett, Richard L; Larson, Kevin; Shaikh, A. Dawn; Chaparo, Barbara S.
  • The Elements of Color
    Itten, Johannes
  • WordlePlus: Expanding Wordle’s use through natural interaction and animation
    Jo, Jaemin; Lee, Bongshin; Seo, Jinwook
  • Emotional and persuasive perception of fonts
    Juni, Samuel; Gross, Julie S.
  • Understanding the Yelp review filter: An exploratory study
    Kamerer, David
  • Maniwordle: Providing flexible control over Wordle
    Koh, Kyle; Lee, Bongshin; Kim, Bohyoung; Seo, Jinwook
  • Text visualization browser: A visual survey of text visualization techniques
    Kucher, Kostiantyn; Kerren, Andreas
  • Semantics-aware typographical choices via affective associations
    Kuglacioglu, Tugba; de Melo, Gerard
  • FontLex: A typographical lexicon based on affective associations
    Kulahcioglu, Tugba; de Melo, Gerard
  • Predicting semantic signatures of fonts
    Kulahcioglu, Tugba; de Melo, Gerard
  • Paralinguistic recommendations for affective word clouds
    Kulahcioglu, Tugba; de Melo, Gerard
  • Exciting red and competent blue: The importance of color in marketing
    Labrecque, Lauren I.; Milne, George R.
  • Typographic influences on reading
    Lewis, Clive; Walker, Peter
  • “Leave your footprints in my words” --a georeferenced word-cloud approach
    Li, Dongying; Zhou, Xiaolu
  • Concentri cloud: Word cloud visualization for multiple text documents
    Lohmann, Steffen; Heimerl, Florian; Bopp, Fabian; Burch, Michael; Ertl, Thomas
  • Half a century of research on the Stroop effect: An integrative review
    MacLeod, Colin M.
  • An Approach to Environmental Psychology
    Mehrabian, Albert; Russell, James A.
  • Blue or red? Exploring the effect of color on cognitive task performances
    Mehta, Ravi; Zhu, Rui Juliet
  • [n
    Mills, Hayden
  • From once upon a time to happily ever after: Tracking emotions in mail and books
    Mohammad, Saif M.
  • Cultural differences on attention and perceived usability: Investigating color combinations of animated graphics
    Noiwan, Jantawan; Norcio, Anthony F.
  • Exploratory font selection using crowdsourced attributes
    O’Donovan, Peter; Libeks, Janis; Agarwala, Aseem; Hertzmann, Aaron
  • [n
    Qiao, Jack
  • What sparks joy: The affectvec emotion database
    Raji, Shahab; de Melo, Gerard
  • Semantically structured tag clouds: An empirical evaluation of clustered presentation approaches
    Schrammel, Johann; Leitner, Michael; Tscheligi, Manfred
  • The effect of website typeface appropriateness on the perception of a company’s ethos
    Shaikh, A. Dawn
  • Psychology of Onscreen Type: Investigations Regarding Typeface Personality, Appropriateness, and Impact on Document Perception
    Shaikh, Audrey Dawn
  • Perception of fonts: Perceived personality traits and uses
    Shaikh, A. Dawn; Chaparro, Barbara S.; Fox, Doug
  • The effect of typeface on the perception of email
    Shaikh, A. Dawn; Fox, Doug; Chaparro, Barbara S.
  • Are emojis emotional? A study to understand the association between emojis and emotions
    Shoeb, Abu Awal Md; de Melo, Gerard
  • Impact of color on marketing
    Singh, Satyendra
  • Beautiful Visualization: Looking at Data Through the Eyes of Experts
    Steele, Julie; Iliinsky, Noah
  • Predictive packaging design: Tasting shapes, typefaces, names, and sounds
    Velasco, Carlos; Salgado-Montejo, Alejandro; Marmolejo-Ramos, Fernando; Spence, Charles
  • The taste of typeface
    Velasco, Carlos; Woods, Andy T.; Hyndman, Sarah; Spence, Charles
  • Participatory visualization with Wordle
    Viegas, Fernanda B.; Wattenberg, Martin; Feinberg, Jonathan
  • Fisheye word cloud for temporal sentiment exploration
    Wang, Ji; Dent, Kyle D.; North, Chris L.
  • EdWordle: Consistency-preserving word cloud editing
    Wang, Yunhai; Chu, Xiaowei; Bao, Chen; Zhu, Lifeng; Deussen, Oliver; Chen, Baoquan; Sedlmair, Michael
  • Semantize: Visualizing the sentiment of individual document
    Wecker, Alan J.; Lanir, Joel; Mokryn, Osnat; Minkov, Einat; Kuflik, Tsvi
  • Color psychology: A critical review
    Whitfield, T. W.; Whiltshire, T. J.
  • Semantic word cloud generation based on word embeddings
    Xu, Jin; Tao, Yubo; Lin, Hai