An AI Guide to Enhance Accessibility of Social Virtual Reality for Blind People
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910082601582592 |
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| author | Collins, Jazmin Nicholson, Kaylah Myranda Khadir, Yusuf Won, Andrea Stevenson Azenkot, Shiri |
| author_facet | Collins, Jazmin Nicholson, Kaylah Myranda Khadir, Yusuf Won, Andrea Stevenson Azenkot, Shiri |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_14058 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An AI Guide to Enhance Accessibility of Social Virtual Reality for Blind People Collins, Jazmin Nicholson, Kaylah Myranda Khadir, Yusuf Won, Andrea Stevenson Azenkot, Shiri Human-Computer Interaction Emerging Technologies 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. |
| title | An AI Guide to Enhance Accessibility of Social Virtual Reality for Blind People |
| topic | Human-Computer Interaction Emerging Technologies |
| url | https://arxiv.org/abs/2410.14058 |