See-Through Face Display for DHH People: Enhancing Gaze Awareness in Remote Sign Language Conversations with Camera-Behind Displays
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908301184204800 |
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| author | Izumi, Kazuya Shitara, Akihisa Ochiai, Yoichi |
| author_facet | Izumi, Kazuya Shitara, Akihisa Ochiai, Yoichi |
| contents | This paper presents a sign language conversation system based on the See-Through Face Display to address the challenge of maintaining eye contact in remote sign language interactions. A camera positioned behind a transparent display allows users to look at the face of their conversation partner while appearing to maintain direct eye contact. Unlike conventional methods that rely on software-based gaze correction or large-scale half-mirror setups, this design reduces visual distortions and simplifies installation. We implemented and evaluated a videoconferencing system that integrates See-Through Face Display, comparing it to traditional videoconferencing methods. We explore its potential applications for Deaf and Hard of Hearing (DHH), including multi-party sign language conversations, corpus collection, remote interpretation, and AI-driven sign language avatars. Collaboration with DHH communities will be key to refining the system for real-world use and ensuring its practical deployment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_03141 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | See-Through Face Display for DHH People: Enhancing Gaze Awareness in Remote Sign Language Conversations with Camera-Behind Displays Izumi, Kazuya Shitara, Akihisa Ochiai, Yoichi Human-Computer Interaction This paper presents a sign language conversation system based on the See-Through Face Display to address the challenge of maintaining eye contact in remote sign language interactions. A camera positioned behind a transparent display allows users to look at the face of their conversation partner while appearing to maintain direct eye contact. Unlike conventional methods that rely on software-based gaze correction or large-scale half-mirror setups, this design reduces visual distortions and simplifies installation. We implemented and evaluated a videoconferencing system that integrates See-Through Face Display, comparing it to traditional videoconferencing methods. We explore its potential applications for Deaf and Hard of Hearing (DHH), including multi-party sign language conversations, corpus collection, remote interpretation, and AI-driven sign language avatars. Collaboration with DHH communities will be key to refining the system for real-world use and ensuring its practical deployment. |
| title | See-Through Face Display for DHH People: Enhancing Gaze Awareness in Remote Sign Language Conversations with Camera-Behind Displays |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2504.03141 |