Галерея 3300787
Галерея 3300787
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Investigating Implicit Gender Bias and Embodiment of White Males in Virtual Reality with Full Body Visuomotor Synchrony
Published: 02 May 2019 Publication History
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
CHI '19
Paper Acceptance Rate 703 of 2,958 submissions, 24% Overall Acceptance Rate 5,632 of 24,068 submissions, 23%
Sponsor:
sigchi
Hamburg ,
Germany
Funding Sources University of San Francisco Department of Computer Science University of San Francisco Faculty Development Fund Craig Newmark Philanthropies
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Previous research has shown that when White people embody a black avatar in virtual reality (VR) with full body visuomotor synchrony, this can reduce their implicit racial bias. In this paper, we put men in female and male avatars in VR with full visuomotor synchrony using wearable trackers and investigated implicit gender bias and embodiment. We found that participants embodied in female avatars displayed significantly higher levels of implicit gender bias than those embodied in male avatars. The implicit gender bias actually increased after exposure to female embodiment in contrast to male embodiment. Results also showed that participants felt embodied in their avatars regardless of gender matching, demonstrating that wearable trackers can be used for a realistic sense of avatar embodiment in VR. We discuss the future implications of these findings for both VR scenarios and embodiment technologies.
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University of Glasgow, Scotland, UK
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