GazePrompt: Enhancing Low Vision People's Reading Experience with Gaze-Aware Augmentations
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910341390139392 |
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| author | Wang, Ru Potter, Zach Ho, Yun Killough, Daniel Zeng, Linxiu Mondal, Sanbrita Zhao, Yuhang |
| author_facet | Wang, Ru Potter, Zach Ho, Yun Killough, Daniel Zeng, Linxiu Mondal, Sanbrita Zhao, Yuhang |
| contents | Reading is a challenging task for low vision people. While conventional low vision aids (e.g., magnification) offer certain support, they cannot fully address the difficulties faced by low vision users, such as locating the next line and distinguishing similar words. To fill this gap, we present GazePrompt, a gaze-aware reading aid that provides timely and targeted visual and audio augmentations based on users' gaze behaviors. GazePrompt includes two key features: (1) a Line-Switching support that highlights the line a reader intends to read; and (2) a Difficult-Word support that magnifies or reads aloud a word that the reader hesitates with. Through a study with 13 low vision participants who performed well-controlled reading-aloud tasks with and without GazePrompt, we found that GazePrompt significantly reduced participants' line switching time, reduced word recognition errors, and improved their subjective reading experiences. A follow-up silent-reading study showed that GazePrompt can enhance users' concentration and perceived comprehension of the reading contents. We further derive design considerations for future gaze-based low vision aids. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_12772 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GazePrompt: Enhancing Low Vision People's Reading Experience with Gaze-Aware Augmentations Wang, Ru Potter, Zach Ho, Yun Killough, Daniel Zeng, Linxiu Mondal, Sanbrita Zhao, Yuhang Human-Computer Interaction H.5.2 Reading is a challenging task for low vision people. While conventional low vision aids (e.g., magnification) offer certain support, they cannot fully address the difficulties faced by low vision users, such as locating the next line and distinguishing similar words. To fill this gap, we present GazePrompt, a gaze-aware reading aid that provides timely and targeted visual and audio augmentations based on users' gaze behaviors. GazePrompt includes two key features: (1) a Line-Switching support that highlights the line a reader intends to read; and (2) a Difficult-Word support that magnifies or reads aloud a word that the reader hesitates with. Through a study with 13 low vision participants who performed well-controlled reading-aloud tasks with and without GazePrompt, we found that GazePrompt significantly reduced participants' line switching time, reduced word recognition errors, and improved their subjective reading experiences. A follow-up silent-reading study showed that GazePrompt can enhance users' concentration and perceived comprehension of the reading contents. We further derive design considerations for future gaze-based low vision aids. |
| title | GazePrompt: Enhancing Low Vision People's Reading Experience with Gaze-Aware Augmentations |
| topic | Human-Computer Interaction H.5.2 |
| url | https://arxiv.org/abs/2402.12772 |