Journal article
VALID: a perceptually validated Virtual Avatar Library for Inclusion and Diversity
Frontiers in virtual reality, v 4, 1248915
23 Nov 2023
Abstract
As consumer adoption of immersive technologies grows, virtual avatars will play a prominent role in the future of social computing. However, as people begin to interact more frequently through virtual avatars, it is important to ensure that the research community has validated tools to evaluate the effects and consequences of such technologies. We present the first iteration of a new, freely available 3D avatar library called the Virtual Avatar Library for Inclusion and Diversity (VALID), which includes 210 fully rigged avatars with a focus on advancing racial diversity and inclusion. We also provide a detailed process for creating, iterating, and validating avatars of diversity. Through a large online study (n = 132) with participants from 33 countries, we provide statistically validated labels for each avatar's perceived race and gender. Through our validation study, we also advance knowledge pertaining to the perception of an avatar's race. In particular, we found that avatars of some races were more accurately identified by participants of the same race.
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Details
- Title
- VALID: a perceptually validated Virtual Avatar Library for Inclusion and Diversity
- Creators
- Tiffany D. Do - Univ Cent Florida, Dept Comp Sci, Orlando, FL 32816 USASteve Zelenty - University of Central FloridaMar Gonzalez-Franco - GoogleRyan P. Mcmahan - University of Central Florida
- Publication Details
- Frontiers in virtual reality, v 4, 1248915
- Publisher
- Frontiers Media Sa
- Number of pages
- 15
- Grant note
- University of Central Florida10.13039/100007900
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:001114690900001
- Scopus ID
- 2-s2.0-85178888136
- Other Identifier
- 991021916518004721
InCites Highlights
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Computer Science, Software Engineering