Proxemics for Human-Agent Interaction in Augmented Reality

Ann Huang, Pascal Knierim, Francesco Chiossi, Lewis Chuang, Robin Welsch

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

25 Citations (Scopus)

Abstract

Augmented Reality (AR) embeds virtual content in physical spaces, including virtual agents that are known to exert a social presence on users. Existing design guidelines for AR rarely consider the social implications of an agent’s personal space (PS) and that it can impact user behavior and arousal. We report an experiment (N=54) where participants interacted with agents in an AR art gallery scenario. When participants approached six virtual agents (i.e., two males, two females, a humanoid robot, and a pillar) to ask for directions, we found that participants respected the agents’ PS and modulated interpersonal distances according to the human-like agents’ perceived gender. When participants were instructed to walk through the agents, we observed heightened skin-conductance levels that indicate physiological arousal. These results are discussed in terms of proxemic theory that result in design recommendations for implementing pervasive AR experiences with virtual agents.
Original languageEnglish
Title of host publicationCHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PublisherACM
Pages1-13
ISBN (Electronic)978-1-4503-9157-3
DOIs
Publication statusPublished - 29 Apr 2022
MoE publication typeA4 Conference publication
EventACM SIGCHI Annual Conference on Human Factors in Computing Systems - Virtual, Online, New Orleans, United States
Duration: 30 Apr 20225 May 2022

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI
Country/TerritoryUnited States
CityNew Orleans
Period30/04/202205/05/2022

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