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Effects of Posture and Embodiment on Social Distance in Human-Agent Interaction in Mixed Reality
KTH.
KTH.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-3089-0345
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2018 (English)In: Proceedings of the 18th International Conference on Intelligent Virtual Agents, ACM Digital Library, 2018, p. 191-196Conference paper, Published paper (Refereed)
Abstract [en]

Mixed reality offers new potentials for social interaction experiences with virtual agents. In addition, it can be used to experiment with the design of physical robots. However, while previous studies have investigated comfortable social distances between humans and artificial agents in real and virtual environments, there is little data with regards to mixed reality environments. In this paper, we conducted an experiment in which participants were asked to walk up to an agent to ask a question, in order to investigate the social distances maintained, as well as the subject's experience of the interaction. We manipulated both the embodiment of the agent (robot vs. human and virtual vs. physical) as well as closed vs. open posture of the agent. The virtual agent was displayed using a mixed reality headset. Our experiment involved 35 participants in a within-subject design. We show that, in the context of social interactions, mixed reality fares well against physical environments, and robots fare well against humans, barring a few technical challenges.

Place, publisher, year, edition, pages
ACM Digital Library, 2018. p. 191-196
National Category
Natural Language Processing Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-241288DOI: 10.1145/3267851.3267870ISI: 000511376500029Scopus ID: 2-s2.0-85058440240OAI: oai:DiVA.org:kth-241288DiVA, id: diva2:1280131
Conference
18th International Conference on Intelligent Virtual Agents
Note

QC 20190122

Available from: 2019-01-18 Created: 2019-01-18 Last updated: 2025-02-01Bibliographically approved

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Li, ChengjieYang, FangkaiSaikia, HimangshuPeters, ChristopherSkantze, Gabriel

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Li, ChengjieAndroulakaki, TheofroniaYang, FangkaiSaikia, HimangshuPeters, ChristopherSkantze, Gabriel
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KTHComputational Science and Technology (CST)Speech, Music and Hearing, TMH
Natural Language ProcessingHuman Computer Interaction

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf