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Effects of Speed, Cyclicity, and Dimensionality on Distancing, Time, and Preference in Human-Aerial Vehicle Interactions

Effects of Speed, Cyclicity, and Dimensionality on Distancing, Time, and Preference in... Effects of Speed, Cyclicity, and Dimensionality on Distancing, Time, and Preference in Human-Aerial Vehicle Interactions BRITTANY A. DUNCAN, Texas A&M University ROBIN R. MURPHY, Texas A&M University This article will present a simulation-based approach to testing multiple variables in the behavior of a small Unmanned Aerial Vehicle (sUAV), inspired by insect and animal motions, to understand how these variables impact time of interaction, preference for interaction, and distancing in Human-Robot Interaction (HRI). Previous work has focused on communicating directionality of flight, intentionality of the robot, and perception of motion in sUAVs, while interactions involving direct distancing from these vehicles have been limited to a single study (likely due to safety concerns). This study takes place in a Cave Automatic Virtual Environment (CAVE) to maintain a sense of scale and immersion with the users, while also allowing for safe interaction. Additionally, the two-alternative forced-choice method is employed as a unique methodology to the study of collocated HRI in order to both study the impact of these variables on preference and allow participants to choose whether or not to interact with a specific robot. This article will be of interest to end-users of sUAV technologies to encourage appropriate distancing based http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Interactive Intelligent Systems (TiiS) Association for Computing Machinery

Effects of Speed, Cyclicity, and Dimensionality on Distancing, Time, and Preference in Human-Aerial Vehicle Interactions

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 by ACM Inc.
ISSN
2160-6455
DOI
10.1145/2983927
Publisher site
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Abstract

Effects of Speed, Cyclicity, and Dimensionality on Distancing, Time, and Preference in Human-Aerial Vehicle Interactions BRITTANY A. DUNCAN, Texas A&M University ROBIN R. MURPHY, Texas A&M University This article will present a simulation-based approach to testing multiple variables in the behavior of a small Unmanned Aerial Vehicle (sUAV), inspired by insect and animal motions, to understand how these variables impact time of interaction, preference for interaction, and distancing in Human-Robot Interaction (HRI). Previous work has focused on communicating directionality of flight, intentionality of the robot, and perception of motion in sUAVs, while interactions involving direct distancing from these vehicles have been limited to a single study (likely due to safety concerns). This study takes place in a Cave Automatic Virtual Environment (CAVE) to maintain a sense of scale and immersion with the users, while also allowing for safe interaction. Additionally, the two-alternative forced-choice method is employed as a unique methodology to the study of collocated HRI in order to both study the impact of these variables on preference and allow participants to choose whether or not to interact with a specific robot. This article will be of interest to end-users of sUAV technologies to encourage appropriate distancing based

Journal

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

Published: Oct 9, 2017

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