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Rowing Beyond: Investigating Steering Methods for Rowing-based Locomotion 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
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0001-7549-1797
Heilbronn University Heilbronn, Germany.
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-6571-0623
2024 (English)In: CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems, Association for Computing Machinery , 2024, article id 631Conference paper, Published paper (Refereed)
Abstract [en]

Rowing has great potential in Virtual Reality (VR) exergames as it requires physical effort and uses physical motion to map the locomotion in a virtual space. However, rowing in VR is currently restricted to locomotion along one axis, leaving 2D and 3D locomotion out of the scope. To facilitate rowing-based locomotion, we implemented three steering techniques based on head, hands, and feet movements for 2D and 3D VR environments. To investigate these methods, we conducted a controlled experiment (N = 24) to assess the user performance, experience and VR sickness. We found that head steering leads to fast and precise steering in 2D and 3D, and hand steering is the most realistic. Feet steering had the largest performance difference between 2D and 3D but comparable precision to hands in 2D. Lastly, head steering is the least mentally demanding, and all methods had comparable VR sickness.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2024. article id 631
Keywords [en]
exergame, locomotion, rowing, steering, virtual reality
National Category
Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-347649DOI: 10.1145/3613904.3642192ISI: 001255317905035Scopus ID: 2-s2.0-85194817975OAI: oai:DiVA.org:kth-347649DiVA, id: diva2:1869244
Conference
2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024, Hybrid, May 11-16, 2024, Honolulu, United States of America
Note

Part of ISBN 979-840070330-0

QC 20241014

Available from: 2024-06-12 Created: 2024-06-12 Last updated: 2025-02-14Bibliographically approved

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Hedlund, MartinBogdan, Cristian MMatviienko, Andrii

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