VRSL:Exploring the Comprehensibility of 360-Degree Camera Feeds for Sign Language Communication in Virtual Reality
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866910034224480256 |
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| author | Rajmane, Gauri Umesh Li, Ziming Oh, Tae Peiris, Roshan |
| author_facet | Rajmane, Gauri Umesh Li, Ziming Oh, Tae Peiris, Roshan |
| contents | This study explores integrating sign language into virtual reality (VR) by examining the comprehensibility and user experience of viewing American Sign Language (ASL) videos captured with body-mounted 360-degree cameras. Ten participants identified ASL signs from videos recorded at three body-mounted positions: head, shoulder, and chest. Results showed the shoulder-mounted camera achieved the highest accuracy (85%), though differences between positions were not statistically significant. Participants noted that peripheral distortion in 360-degree videos impacted clarity, highlighting areas for improvement. Despite challenges, the overall comprehension success rate of 83.3% demonstrates the potential of video-based ASL communication in VR. Feedback emphasized the need to refine camera angles, reduce distortion, and explore alternative mounting positions. Participants expressed a preference for signing over text-based communication in VR, highlighting the importance of developing this approach to enhance accessibility and collaboration for Deaf and Hard of Hearing (DHH) users in virtual environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_23265 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | VRSL:Exploring the Comprehensibility of 360-Degree Camera Feeds for Sign Language Communication in Virtual Reality Rajmane, Gauri Umesh Li, Ziming Oh, Tae Peiris, Roshan Human-Computer Interaction This study explores integrating sign language into virtual reality (VR) by examining the comprehensibility and user experience of viewing American Sign Language (ASL) videos captured with body-mounted 360-degree cameras. Ten participants identified ASL signs from videos recorded at three body-mounted positions: head, shoulder, and chest. Results showed the shoulder-mounted camera achieved the highest accuracy (85%), though differences between positions were not statistically significant. Participants noted that peripheral distortion in 360-degree videos impacted clarity, highlighting areas for improvement. Despite challenges, the overall comprehension success rate of 83.3% demonstrates the potential of video-based ASL communication in VR. Feedback emphasized the need to refine camera angles, reduce distortion, and explore alternative mounting positions. Participants expressed a preference for signing over text-based communication in VR, highlighting the importance of developing this approach to enhance accessibility and collaboration for Deaf and Hard of Hearing (DHH) users in virtual environments. |
| title | VRSL:Exploring the Comprehensibility of 360-Degree Camera Feeds for Sign Language Communication in Virtual Reality |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2602.23265 |