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Jogging-in-place: exploring body-steering methods for jogging in virtual environments
Kth Royal Institute of Technology, Stockholm, Sweden.
Umeå University, Faculty of Social Sciences, Department of Informatics.ORCID iD: 0000-0003-1974-1100
Kth Royal Institute of Technology, Stockholm, Sweden.
Kth Royal Institute of Technology, Stockholm, Sweden.
2023 (English)In: MUM '23: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia / [ed] Florian Michahelles; Pascal Knierim; Jonna Häkkilä, ACM Digital Library, 2023, p. 377-385Conference 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
ACM Digital Library, 2023. p. 377-385
Series
ACM International Conference Proceeding Series
Keywords [en]
jogging, physical movement, steering, virtual reality
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:umu:diva-218678DOI: 10.1145/3626705.3627778Scopus ID: 2-s2.0-85180131965ISBN: 979-8-4007-0921-0 (electronic)OAI: oai:DiVA.org:umu-218678DiVA, id: diva2:1822777
Conference
MUM '23: International Conference on Mobile and Ubiquitous Multimedia, Vienna, Austria, December 3-6, 2023
Available from: 2023-12-27 Created: 2023-12-27 Last updated: 2024-08-02Bibliographically approved

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fulltext(4559 kB)155 downloads
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Lundström, Anders

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CiteExportLink to record
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Citation style
  • apa
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  • nn-NB
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Output format
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