Modeling Pointing for 3D Target Selection in VR
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Documents
- Modeling Pointing for 3D Target Selection in V
Final published version, 2.86 MB, PDF document
Virtual reality (VR) allows users to interact similarly to how they do in the physical world, such as touching, moving, and pointing at objects. To select objects at a distance, most VR techniques rely on casting a ray through one or two points located on the user’s body (e.g., on the head and a finger), and placing a cursor on that ray. However, previous studies show that such rays do not help users achieve optimal pointing accuracy nor correspond to how they would naturally point. We seek to find features, which would best describe natural pointing at distant targets. We collect motion data from seven locations on the hand, arm, and body, while participants point at 27 targets across a virtual room. We evaluate the features of pointing and analyse sets of those for predicting pointing targets. Our analysis shows an 87% classification accuracy between the 27 targets for the best feature set and a mean distance of 23.56 cm in predicting pointing targets across the room. The feature sets can inform the design of more natural and effective VR pointing techniques for distant object selection.
Original language | English |
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Title of host publication | Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology |
Publisher | Association for Computing Machinery |
Publication date | 8 Dec 2021 |
Pages | 1-10 |
Article number | 42 |
ISBN (Electronic) | 978-1-4503-9092-7 |
DOIs | |
Publication status | Published - 8 Dec 2021 |
Event | 27th ACM Symposium on Virtual Reality Software and Technology (VRST '21) - Osaka, Japan Duration: 8 Dec 2021 → 10 Dec 2021 |
Conference
Conference | 27th ACM Symposium on Virtual Reality Software and Technology (VRST '21) |
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Land | Japan |
By | Osaka |
Periode | 08/12/2021 → 10/12/2021 |
- Faculty of Science - Virtual reality, pointing, target selection
Research areas
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