Task influence on perceptions of a person-following robot and following-angle preferences

Shanee Honig, Yael Edan, Hanan Zaichyk, Tal Oron-Gilad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To improve the design of a person-following robot, this preliminary study evaluates the influence of user tasks on human preferences of the robot's following angle and human perceptions of the robot's behavior. 32 participants were followed by a robot at three different following angles twice, once with an auditory task and once with a visual task, for a total of six walking trials. Results indicate that the type of user task influences participant preferences and perceptions. For the auditory task, as the following angle increased, participants were more satisfied with the robot's following behavior. For the visual task, as the following angle increased, participants were less satisfied with the robot's following behavior. In addition, participants were more perceptive of the robot's following behavior for the auditory task compared to the visual task. Additional research is required to better understand whether human preferences and perceptions depend on task modality or task complexity.

Original languageEnglish
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
StatePublished - 2 May 2019
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19

Keywords

  • Following angle
  • Person-following robot
  • Robot behavior
  • User task

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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