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Physical Locomotion for 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
2024 (English)In: CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems, Association for Computing Machinery (ACM) , 2024, article id 440Conference paper, Published paper (Refereed)
Abstract [en]

Physical interaction can provide users with engaging experiences and more healthy active interfaces. In virtual environments, physical interaction can be used for locomotion purposes in which the user's physical actions are mapped to virtual translations, for example in Virtual Reality. Physical engagement can be important not only for exertion game applications, but also in terms of reducing VR sickness, providing engaging and perhaps more realistic experiences, and in the long-term, contribute to reducing sedentary behavior in work context applications. My work examines how locomotion methods can be implemented in virtual environments for various contexts in which the user is physically active in generating locomotion, in contrast to a sedentary desktop or joystick setting. In three studies, I have studied how forms of physical locomotion (normal walking, walk-in-place, fitness equipment) for virtual reality applications, impact the performance and usability within their given context. In these studies I have used comparative experimental design to evaluate locomotion alternatives, or compared with a desktop alternative. For the next study I aim to investigate physical steering techniques for flying experiences. I also aim to synthesize locomotion research into a holistic detail-oriented framework to support comparison and reproducability between locomotion techniques.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2024. article id 440
Keywords [en]
embodied, locomotion, physical, steering, virtual reality
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-347322DOI: 10.1145/3613905.3638187ISI: 001227587700117Scopus ID: 2-s2.0-85194149711OAI: oai:DiVA.org:kth-347322DiVA, id: diva2:1867255
Conference
2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024, Hybrid, Honolulu, United States of America, May 11 2024 - May 16 2024
Note

QC 20240610

Part of ISBN 979-840070331-7

Available from: 2024-06-10 Created: 2024-06-10 Last updated: 2024-10-07Bibliographically approved

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Hedlund, Martin

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Citation style
  • apa
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  • de-DE
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