VR Motion Sickness: Causal Mechanism and Prevention Based on Visual Generation Principle

Anan Yang

doi:10.54254/2755-2721/2026.TJ29154

Applied and Computational EngineeringOpen access

VR Motion Sickness: Causal Mechanism and Prevention Based on Visual Generation Principle

Research Article

Open Access

VR Motion Sickness: Causal Mechanism and Prevention Based on Visual Generation Principle

Anan Yang ^1*

¹ Beijing Normal-Hong Kong Baptist University

^*Corresponding author: 1125568980@qq.com

Published on 5 November 2025

ACE Vol.203

ISSN (Print): 2755-273X

ISSN (Online): 2755-2721

ISBN (Print): 978-1-80590-515-8

ISBN (Online): 978-1-80590-516-5

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Abstract

Virtual Reality (VR) motion sickness is a physiological discomfort that users experience when using virtual reality devices, and it is one of the main reasons that limit the development and application scenarios of virtual reality technology. To enhance user experience and broaden the application prospects of VR technology, it is crucial to study the causes and preventive measures of motion sickness. This article primarily examines the causes and manifestations of VR motion sickness by integrating the visual generation principle of VR. Understand subjective assessment indicators such as Simulator Sickness Questionnaire (SSQ) and Vestibular Function Measurement (FMS), as well as objective indicators, and discuss the relief methods of related symptoms from multiple aspects including technical optimization, content design, and user adaptation. Future research can further integrate physiological signal monitoring and behavioral data analysis to build a more comprehensive assessment and intervention system for motion sickness, thereby promoting the wider application of virtual reality technology in fields such as education, healthcare, and entertainment.

Keywords:

VR Motion Sickness, SSQ, FMS

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References

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References

[1]. Hettinger, L. J., Berbaum, K. S., Kennedy, R. S., Dunlap, W. P., & Nolan, M. D. (1990). Vection and simulator sickness. Military psychology, 2(3), 171-181.

[2]. Riccio, G. E., & Stoffregen, T. A. (1991). An ecological theory of motion sickness and postural instability. Ecological psychology, 3(3), 195-240.

[8]. Fernandes, A. S., and Feiner, S. K. (2016). “Combating VR sickness through subtle dynamic field-of-view modification, ” in 2016 IEEE Symposium on 3D User Interfaces (3DUI) (Greenville, SC).

[10]. Ryu, Y., & Ryu, E. S. (2021). Overview of Motion-to-Photon Latency Reduction for Mitigating VR Sickness. KSII Transactions on Internet & Information Systems, 15(7)

[14]. Keshavarz, B., & Hecht, H. (2011). Validating an efficient method to quantify motion sickness. Human factors, 53(4), 415-426.

[17]. Choi, S. W., Lee, S., Seo, M. W., & Kang, S. J. (2018). Time sequential motion-to-photon latency measurement system for virtual reality head-mounted displays.Electronics, 7(9), 171.

Cite this article

Yang,A. (2025). VR Motion Sickness: Causal Mechanism and Prevention Based on Visual Generation Principle. Applied and Computational Engineering,203,22-27.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-SPML 2026 Symposium: The 2nd Neural Computing and Applications Workshop 2025

ISBN: 978-1-80590-515-8(Print) / 978-1-80590-516-5(Online)

Editor: Marwan Omar, Guozheng Rao

Conference website: https://www.confspml.org/tianjin.html

Conference date: 21 December 2025

Series: Applied and Computational Engineering

Volume number: Vol.203

ISSN: 2755-2721(Print) / 2755-273X(Online)

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