Social copresence in anonymous social interactions using a mobile video telephone
Abstract
In this paper, we describe research exploring the effect of behavioral and visual realism of avatars on users' social copresence in emotionally engaged conversations conducted via a simulated mobile video telephone. We offer an elaborated definition of Social Copresence to better measure users' engagement with conversational partners in social interactions that do not involve specific tasks or concrete outcomes. We investigate ways to secure mobile telephone users' anonymity while preserving their most important nonverbal affective behaviors. Experimental results with 180 participants using different combinations of static and dynamic, high and low iconic (both video and graphically animated) avatars show increased Social Copresence with dynamic high-iconic (similar to the human communicator) avatars incorporating correct facial expressions, even when these are presented on the small screen of mobile telephones in such a way that individual identities are masked. The results point to an economical combination of behavioral and iconic realism of avatars that produces maximum emotional engagement in anonymous social interactions using mobile video telephones.
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Studies have shown that the presence of others can affect not only the productivity of students in learning but also the effectiveness of social interaction.
“Studies have shown that the presence of others can affect not only the productivity of students in learning [51] but also the effectiveness of social interaction [40].”
From The Promise and Peril of ChatGPT in Higher Education: Opportunities, Challenges, and Design Implications (2024) · cites this paper as [40]
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The Repertoire of Nonverbal Behavior: Categories, Origins, Usage, and Coding
EKMAN, P., & FRIESEN, W. V. (1969) · Semiotica · doi:10.1515/semi.1969.1.1.49 · Cited by 3,316 · see citing works
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Park, H., & Ahn, D. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642785 · Cited by 84 · see citing works
Lee, Y., Chung, J. J. Y., Song, J. Y., Chang, M., & Kim, J. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445222 · Cited by 44 · see citing works
- Authors
- Kang, S.-H., Watt, J. H., & Ala, S. K.
- Affiliations
- Rensselaer Polytechnic Institute (US)
- ORCID
- Kang, Sin-Hwa
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2008-04-06
- Pages
- 1535-1544
- OpenAlex
- W2027759539
- Cited by
- 37
- References
- 1
- Citations by year
- 2025: 4 · 2024: 1 · 2023: 1 · 2021: 2 · 2020: 1 · 2018: 2 · 2017: 4 · 2016: 5 · 2015: 2 · 2014: 3 · 2013: 2 · 2012: 1
- FWCI
- 2.32
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- avatars, avatar realism, facial expressions, nonverbal communication, anonymity, emotional engagement, animated avatars, videoconferencing, small displays
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