The Influence of Mixed-Gender Avatar Facial Features on Racial Perception: Insights from the VALID Avatar Library

Abstract

Using the VALID Avatar Library, we created 14 mixed-gender avatars by combining facial features from male and female avatars within seven racial categories. In an online study (n=68), the avatars were perceived as racially ambiguous, despite source avatars sharing the same race. Same-race participant analysis showed nuanced ambiguity reduction, emphasizing categorization refinement. Findings suggest a potential link between gender and race perception, influenced by limited perceptual expertise.

Publication
To Appear in 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
Tiffany D. Do
Tiffany D. Do
Ph.D. Candidate of Computer Science