Conference proceeding
The Influence of Mixed-Gender Avatar Facial Features on Racial Perception: Insights from the VALID Avatar Library
2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp 450-453
16 Mar 2024
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.
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Details
- Title
- The Influence of Mixed-Gender Avatar Facial Features on Racial Perception: Insights from the VALID Avatar Library
- Creators
- Tiffany D. Do - University of Central FloridaCamille Isabella Protko - University of Central FloridaRyan P. McMahan - University of Central FloridaIEEE COMPUTER SOC
- Publication Details
- 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp 450-453
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:001239375400082
- Scopus ID
- 2-s2.0-85195535522
- Other Identifier
- 991021916518404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Cybernetics
- Computer Science, Theory & Methods