TY - GEN
T1 - "Do you get déjà vu"
T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
AU - Shih, Meng Ting
AU - Lee, Yi Chieh
AU - Huang, Chih Mao
AU - Chan, Liwei
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/4/19
Y1 - 2023/4/19
N2 - The similarity effect is a phenomenon whereby people tend to be more influenced by others who resemble them in appearance. It has been found to have many positive impacts, including building trust and promoting collaboration performance. While empirical evidence confirmed that similarity effect operates on screen-based communication platforms, it remains unclear how this phenomenon impacts user perceptions and others' persuasiveness in immersive virtual reality (VR) environments. In this study, we adopted a mixed-methods approach to investigating how interaction with avatars of similar appearance to one's own avatar influences conversations. We operationalized similarity as identicality, moderate similarity, and dissimilarity. Avatars of moderate similarity were found to have the greatest persuasiveness; however, in both identicality and moderate similarity conditions, participants felt it was easier to communicate with and lower eeriness rating to avatars than in the dissimilarity condition. We conclude that similarity effect could be leveraged to support persuasiveness in VR-based communication.
AB - The similarity effect is a phenomenon whereby people tend to be more influenced by others who resemble them in appearance. It has been found to have many positive impacts, including building trust and promoting collaboration performance. While empirical evidence confirmed that similarity effect operates on screen-based communication platforms, it remains unclear how this phenomenon impacts user perceptions and others' persuasiveness in immersive virtual reality (VR) environments. In this study, we adopted a mixed-methods approach to investigating how interaction with avatars of similar appearance to one's own avatar influences conversations. We operationalized similarity as identicality, moderate similarity, and dissimilarity. Avatars of moderate similarity were found to have the greatest persuasiveness; however, in both identicality and moderate similarity conditions, participants felt it was easier to communicate with and lower eeriness rating to avatars than in the dissimilarity condition. We conclude that similarity effect could be leveraged to support persuasiveness in VR-based communication.
KW - Appearance
KW - Avatar
KW - Computer Mediated Communication
KW - Similarity Effect
KW - Social Virtual Reality
UR - http://www.scopus.com/inward/record.url?scp=85158152026&partnerID=8YFLogxK
U2 - 10.1145/3544549.3585839
DO - 10.1145/3544549.3585839
M3 - Conference contribution
AN - SCOPUS:85158152026
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 23 April 2023 through 28 April 2023
ER -