An AI Guide to Enhance Accessibility of Social Virtual Reality for Blind People
October 17, 2024 Β· Declared Dead Β· π International ACM SIGACCESS Conference on Computers and Accessibility
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Authors
Jazmin Collins, Kaylah Myranda Nicholson, Yusuf Khadir, Andrea Stevenson Won, Shiri Azenkot
arXiv ID
2410.14058
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.ET
Citations
9
Venue
International ACM SIGACCESS Conference on Computers and Accessibility
Last Checked
4 months ago
Abstract
The rapid growth of virtual reality (VR) has led to increased use of social VR platforms for interaction. However, these platforms lack adequate features to support blind and low vision (BLV) users, posing significant challenges in navigation, visual interpretation, and social interaction. One promising approach to these challenges is employing human guides in VR. However, this approach faces limitations with a lack of availability of humans to serve as guides, or the inability to customize the guidance a user receives from the human guide. We introduce an AI-powered guide to address these limitations. The AI guide features six personas, each offering unique behaviors and appearances to meet diverse user needs, along with visual interpretation and navigation assistance. We aim to use this AI guide in the future to help us understand BLV users' preferences for guide forms and functionalities.
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