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Larger step faster speed: Investigating gesture-amplitude-based locomotion in place with different virtual walking speed in virtual reality
Author(s)
Date Issued
2021
Publisher
IEEE
ISBN
9781665418386
9781665430685
ISSN
2642-5254
2642-5246
Citation
Ke, Pingchuan & Zhu, Kening (2021). Larger step faster speed: Investigating gesture-amplitude-based locomotion in place with different virtual walking speed in virtual reality. In IEEE (Ed.). 2021 IEEE virtual reality and 3d user interfaces (VR). IEEE Annual International Symposium Virtual Reality 2021, Lisboa, Portugal (pp. 438-447). IEEE.
Type
Conference Paper
Abstract
In this paper, we present a series of user studies to investigate the technique of gesture-amplitude-based walking-speed control for locomotion in place (LIP) in virtual reality (VR). Our 1st study suggested that compared to tapping and goose-stepping, the gesture of marching in place was significantly preferred by users across three different virtual walking speed (i.e., 1 ×, 3 ×, and 10 ×) while sitting and standing, and it yielded larger motion difference across the three speed levels. With the tracker data recorded in the 1st study, we trained a Support- Vector-Machine classification model for LIP speed control based on users' leg/foot gestures in marching in place. The overall accuracy for classifying three speed levels was above 90% for sitting and standing. With the classification model, we then compared the marching-in-place speed-control technique with the controller-based teleportation approach on a target-reaching task where users were sitting and standing. We found no significant difference between the two conditions in terms of target-reaching accuracy. More importantly, the technique of marching in place yielded significantly higher user ratings in terms of naturalness, realness, and engagement than the controller-based teleportation did.
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