Avi Aizenman
The Statistics of Eye Movements and Binocular Disparities during VR Gaming: Implications for Headset Design
Aizenman, Avi; Koulieris, George-Alex; Gibaldi, Agostino; Sehgal, Vibhor; Levi, Dennis; Banks, Martin S.
Authors
Dr George Koulieris georgios.a.koulieris@durham.ac.uk
Associate Professor
Agostino Gibaldi
Vibhor Sehgal
Dennis Levi
Martin S. Banks
Abstract
The human visual system evolved in environments with statistical regularities. Binocular vision is adapted to these such that depth perception and eye movements are more precise, faster, and performed comfortably in environments consistent with the regularities. We measured the statistics of eye movements and binocular disparities in VR-gaming environments and found that they are quite different from those in the natural environment. Fixation distance and direction are more restricted in VR, and fixation distance is farther. The pattern of disparity across the visual field is less regular in VR and does not conform to a prominent property of naturally occurring disparities. From this we predict that double vision is more likely in VR than in the natural environment. We also determined the optimal screen distance to minimize discomfort due to the vergence-accommodation conflict, and the optimal nasal-temporal positioning of HMD screens to maximize binocular field of view. Finally, in a user study we investigated how VR content affects comfort and performance. Content that is more consistent with the statistics of the natural world yields less discomfort than content that is not. Furthermore, consistent content yields slightly better performance than inconsistent content.
Citation
Aizenman, A., Koulieris, G.-A., Gibaldi, A., Sehgal, V., Levi, D., & Banks, M. S. (2023). The Statistics of Eye Movements and Binocular Disparities during VR Gaming: Implications for Headset Design. ACM Transactions on Graphics, 42(1), Article 7. https://doi.org/10.1145/3549529
Journal Article Type | Article |
---|---|
Acceptance Date | May 17, 2022 |
Online Publication Date | Jul 21, 2022 |
Publication Date | 2023-02 |
Deposit Date | Mar 30, 2022 |
Publicly Available Date | Mar 10, 2023 |
Journal | ACM Transactions on Graphics |
Print ISSN | 0730-0301 |
Electronic ISSN | 1557-7368 |
Publisher | Association for Computing Machinery (ACM) |
Peer Reviewed | Peer Reviewed |
Volume | 42 |
Issue | 1 |
Article Number | 7 |
DOI | https://doi.org/10.1145/3549529 |
Public URL | https://durham-repository.worktribe.com/output/1210931 |
Files
Accepted Journal Article
(13 Mb)
PDF
Copyright Statement
© ACM 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Graphics}, https://doi.org/10.1145/10.1145/3549529
Published Journal Article
(4.1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search