Reading Speed, Image Quality Ratings, and Comfort Ratings in Augmented Reality
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866918498192588800 |
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| author | Kim, Minjung Nezamabadi, Saeideh Ghahghaei Lian, Trisha Singh, Anand |
| author_facet | Kim, Minjung Nezamabadi, Saeideh Ghahghaei Lian, Trisha Singh, Anand |
| contents | The rendering and display of text is a key use-case for augmented reality (AR). Here, we present the Read-AR, a dataset of reading in AR, for which we collected over 11,000 reading speeds and almost 6000 visual quality and comfort ratings across over 80 different experiment conditions on the same experiment set-up. The consistent, controlled set-up enables the dataset to function as a reference for benchmarking the quality of different AR headset architectures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_27203 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Reading Speed, Image Quality Ratings, and Comfort Ratings in Augmented Reality Kim, Minjung Nezamabadi, Saeideh Ghahghaei Lian, Trisha Singh, Anand Human-Computer Interaction The rendering and display of text is a key use-case for augmented reality (AR). Here, we present the Read-AR, a dataset of reading in AR, for which we collected over 11,000 reading speeds and almost 6000 visual quality and comfort ratings across over 80 different experiment conditions on the same experiment set-up. The consistent, controlled set-up enables the dataset to function as a reference for benchmarking the quality of different AR headset architectures. |
| title | Reading Speed, Image Quality Ratings, and Comfort Ratings in Augmented Reality |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.27203 |