A Tool for Estimating Success Rates of Raycasting-Based Object Selection in Virtual Reality
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866918275209756672 |
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| author | Okuno, Tatsuya Shimizu, Haruto Kasahara, Nobuhito Honma, Taiyu Yamanaka, Shota Miyashita, Homei |
| author_facet | Okuno, Tatsuya Shimizu, Haruto Kasahara, Nobuhito Honma, Taiyu Yamanaka, Shota Miyashita, Homei |
| contents | As XR devices become widespread, 3D interaction has become commonplace, and UI developers are increasingly required to consider usability to deliver better user experiences. The HCI community has long studied target-pointing performance, and research on 3D environments has progressed substantially. However, for practitioners to directly leverage research findings in UI improvements, practical tools are needed. To bridge this gap between research and development in VR systems, we propose a system that estimates object selection success rates within a development tool (Unity). In this paper, we validate the underlying theory, describe the tool's functions, and report feedback from VR developers who tried the tool to assess its usefulness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_03522 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Tool for Estimating Success Rates of Raycasting-Based Object Selection in Virtual Reality Okuno, Tatsuya Shimizu, Haruto Kasahara, Nobuhito Honma, Taiyu Yamanaka, Shota Miyashita, Homei Human-Computer Interaction As XR devices become widespread, 3D interaction has become commonplace, and UI developers are increasingly required to consider usability to deliver better user experiences. The HCI community has long studied target-pointing performance, and research on 3D environments has progressed substantially. However, for practitioners to directly leverage research findings in UI improvements, practical tools are needed. To bridge this gap between research and development in VR systems, we propose a system that estimates object selection success rates within a development tool (Unity). In this paper, we validate the underlying theory, describe the tool's functions, and report feedback from VR developers who tried the tool to assess its usefulness. |
| title | A Tool for Estimating Success Rates of Raycasting-Based Object Selection in Virtual Reality |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2601.03522 |