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Analysis of VR Sickness and Gait Parameters During Non-Isometric Virtual Walking with Large Translational Gain

Published: 14 November 2019 Publication History

Abstract

The combination of room-scale virtual reality and non-isometric virtual walking techniques is promising-the former provides a comfortable and natural VR experience, while the latter relaxes the constraint of the physical space surrounding the user. In the last few decades, many non-isometric virtual walking techniques have been proposed to enable unconstrained walking without disrupting the sense of presence in the VR environment. Nevertheless, many works reported the occurrence of VR sickness near the detection threshold or after prolonged use. There exists a knowledge gap on the level of VR sickness and gait performance for amplified non-isometric virtual walking at well beyond the detection threshold. This paper presents an experiment with 17 participants that investigated VR sickness and gait parameters during non-isometric virtual walking at large and detectable translational gain levels. The result showed that the translational gain level had a significant effect on the reported sickness score, gait parameters, and center of mass displacements. Surprisingly, participants who did not experience motion sickness symptoms at the end of the experiment adapted to the non-isometric virtual walking well and even showed improved performance at a large gain level of 10x.

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cover image ACM Conferences
VRCAI '19: Proceedings of the 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
November 2019
354 pages
ISBN:9781450370028
DOI:10.1145/3359997
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 November 2019

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Author Tags

  1. Cybersickness
  2. Locomotion
  3. Navigation
  4. Redirected Walking
  5. Virtual Reality
  6. Walking

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  • (2024)Sicknificant Steps: A Systematic Review and Meta-analysis of VR Sickness in Walking-based Locomotion for Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641974(1-36)Online publication date: 11-May-2024
  • (2024)A Human-Centric Metaverse Enabled by Brain-Computer Interface: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2024.338712426:3(2120-2145)Online publication date: 10-Apr-2024
  • (2023)An EEG-based Experiment on VR Sickness and Postural Instability While Walking in Virtual Environments2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR55154.2023.00025(94-104)Online publication date: Mar-2023
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  • (2022)Towards Forecasting the Onset of Cybersickness by Fusing Physiological, Head-tracking and Eye-tracking with Multimodal Deep Fusion Network2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00026(121-130)Online publication date: Oct-2022
  • (2022)Step on it: asymmetric gain functions improve starting and stopping in virtual reality walkingVirtual Reality10.1007/s10055-022-00692-w27:2(777-795)Online publication date: 9-Sep-2022
  • (2021)Evaluating VR Sickness in VR Locomotion Techniques2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW52623.2021.00078(380-382)Online publication date: Mar-2021

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