The Effects of Hand Tracking on User Performance: an experimental study of an object selection based memory game

Jamalian, Nima; Gillies, Marco; Leymarie, Frederic Fol and Pan, Xueni. 2022. 'The Effects of Hand Tracking on User Performance: an experimental study of an object selection based memory game'. In: 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). Singapore, Singapore 17-21 October 2022. [Conference or Workshop Item]
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Until recently, Virtual Reality (VR) applications relied on controllers to enable user interaction in virtual environments. With advances in tracking technology, HMDs are now able to track the movements of users’ hands in real-time with significantly greater accuracy, allowing us to interact with the digital world directly with our hands. However, it is not entirely clear how hand tracking affects users’ performance. In this study, we investigate user performance using an in-game analytics-based assessment methodology for a VR memory puzzle task. We conducted a within-subjects experiment with 30 participants in three conditions: 1- Hand-tracking, 2- Controller Without Haptics, and 3- Controller With Haptics. In all our measurements (correct order and pattern, correct pattern only, and trial completion) except for the initial selection time, participants performed best with hand tracking. The use of controllers with haptics did not outperform controllers without haptics in most measures, possibly because other feedback cues compensated for the lack of haptics. This study helps us better understand the three selected interactivity methods when used in VR, as well as the importance of naturalistic experience in interaction design.


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