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Jogging-in-Place: Exploring Body-Steering Methods for Jogging in Virtual Environments
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0009-0002-0080-3113
Umeå Universitet, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0001-7549-1797
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-6571-0623
2023 (English)In: Proceedings of MUM 2023 - The 22nd International Conference on Mobile and Ubiquitous Multimedia, Association for Computing Machinery (ACM) , 2023, p. 371-379Conference paper, Published paper (Refereed)
Abstract [en]

Walk-in-Place is an established locomotion technique for walking in virtual environments, as it incorporates body motion similar to regular walking. Although there is extensive research on the performance and experience of walking in virtual reality spaces, it typically requires minimal-to-moderate physical movement, e.g., stepping forward and turning around, to explore virtual spaces. Therefore, the question we ask ourselves in this work is how user experience and performance are affected when the user is actively moving in place. In this paper, we explored three body-steering methods for jogging-in-place in virtual environments: (1) head-, (2) hand-, and (3) torso-based. To investigate the performance of the proposed body-steering methods for jogging in virtual reality, we conducted a controlled lab experiment (N = 12) to assess task completion time, number of steps, and VR sickness. We discovered that hand- and torso-based methods require fewer steps than the head-based method, and the torso-based is slower than the other two. Moreover, the number of collisions and virtual reality sickness were comparable among the methods.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2023. p. 371-379
Keywords [en]
jogging, physical movement, steering, virtual reality
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-341672DOI: 10.1145/3626705.3627778Scopus ID: 2-s2.0-85180131965OAI: oai:DiVA.org:kth-341672DiVA, id: diva2:1823012
Conference
2nd International Conference on Mobile and Ubiquitous Multimedia, Proceedings of MUM 2023, Vienna, Austria, Dec 3 2023 - Dec 6 2023
Note

Part of ISBN 9798400709210

QC 20231229

Available from: 2023-12-29 Created: 2023-12-29 Last updated: 2023-12-29Bibliographically approved

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Hedlund, MartinBogdan, Cristian MMatviienko, Andrii

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