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Visual perspective and feedback guidance for vr free-throw training

Covaci, Alexandra, Olivier, Anne-Hélène, Multon, Franck (2015) Visual perspective and feedback guidance for vr free-throw training. IEEE computer graphics and applications, 35 (5). pp. 55-65. ISSN 0272-1716. E-ISSN 1558-1756. (doi:10.1109/MCG.2015.95) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:68773)

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https://dx.doi.org/10.1109/MCG.2015.95

Abstract

Accurate distance perception and natural interactions are mandatory conditions when training precision aiming tasks in VR. However, many factors specific to virtual environments (VEs) lead to differences in the way users execute a motor task in VR versus the real world. To investigate these differences, the authors performed a study on basketball beginners' free-throw performance in VEs under different visual conditions. Although the success rate is not statistically different, some adaptations occurred in the way the users performed the task, depending on the visual conditions. In the third-person perspective visual condition, the release parameters indicate that the users more accurately estimated distance to target. Adding visual guidance information (gradual depth information showing the ideal ball trajectory) also led to more natural motor behavior. The final aim of this study was to develop a reliable basketball free-throw training system in VEs, so the authors compared beginners' performances in VR with experts' models of performance. Their results show that most of the performance variables tended to evolve closer to the experts' performance during the training in the VE.

Item Type: Article
DOI/Identification number: 10.1109/MCG.2015.95
Uncontrolled keywords: computer graphics, virtual reality, user studies, perception, virtual worlds training simulation, sports training, natural behavior in virtual environments
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Digital Media
Depositing User: Alexandra Covaci
Date Deposited: 22 Aug 2018 15:02 UTC
Last Modified: 31 Jan 2020 10:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/68773 (The current URI for this page, for reference purposes)
Covaci, Alexandra: https://orcid.org/0000-0002-3205-2273
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