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

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.

Recommended citation: Carlos A. Tirado Cortes, Hsiang-Ting Chen, and Chin-Teng Lin. 2019. Analysis of VR Sickness and Gait Parameters During Non-Isometric Virtual Walking with Large Translational Gain. In Proceedings of the 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI 19). Association for Computing Machinery, New York, NY, USA, Article 16, 1–10. https://doi.org/10.1145/3359997.3365694
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