Larger Step Faster Speed : Investigating Gesture-Amplitude-based Locomotion in Place with Different Virtual Walking Speed in Virtual Reality

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages438-447
Number of pages10
ISBN (Electronic)9781665418386
ISBN (Print)9781665430685, 9780738125565
Publication statusPublished - Mar 2021

Publication series

NameProceedings - IEEE Conference on Virtual Reality and 3D User Interfaces, VR
ISSN (Print)2642-5246
ISSN (Electronic)2642-5254

Conference

Title28th IEEE Conference on Virtual Reality and 3D User Interfaces (VR 2021)
LocationVirtual
PlacePortugal
CityLisboa
Period27 March - 3 April 2021

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.

Research Area(s)

  • Human-centered computing—Virtual reality, Virtual reality, Locomotion, Navigation

Citation Format(s)

Larger Step Faster Speed : Investigating Gesture-Amplitude-based Locomotion in Place with Different Virtual Walking Speed in Virtual Reality. / Ke, Pingchuan; Zhu, Kening.

Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 438-447 9417667 (Proceedings - IEEE Conference on Virtual Reality and 3D User Interfaces, VR).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review