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Towards benchmarking VR sickness: A novel methodological framework for assessing contributing factors and mitigation strategies through rapid VR sickness induction and recovery

  • Virtual Reality (VR) sickness remains a significant challenge in the widespread adoption of VR technologies. The absence of a standardized benchmark system hinders progress in understanding and effectively countering VR sickness. This paper proposes an initial step towards a benchmark system, utilizing a novel methodological framework to serve as a common platform for evaluating contributing VR sickness factors and mitigation strategies. Our benchmark, grounded in established theories and leveraging existing research, features both small and large environments. In two research studies, we validated our system by demonstrating its capability to (1) quickly, reliably, and controllably induce VR sickness in both environments, followed by a rapid decline post-stimulus, facilitating cost and time-effective within-subject studies and increased statistical power, (2) integrate and evaluate established VR sickness mitigation methods — static and dynamic field of view reduction, blur, and virtual nose — demonstrating their effectiveness in reducing symptoms in the benchmark and their direct comparison within a standardized setting. Our proposed benchmark also enables broader, more comparative research into different technical, setup, and participant variables influencing VR sickness and overall user experience, ultimately paving the way for building a comprehensive database to identify the most effective strategies for specific VR applications.

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Metadaten
Document Type:Article
Language:English
Author:Rose Rouhani, Narmada Umatheva, Jannik Brockerhoff, Behrang Keshavarz, Ernst Kruijff, Jan Gugenheimer, Bernhard E. Riecke
Parent Title (English):Displays
Volume:84
Article Number:102807
Number of pages:22
First Page:1
Last Page:22
ISSN:0141-9382
URN:urn:nbn:de:hbz:1044-opus-85526
DOI:https://doi.org/10.1016/j.displa.2024.102807
Publisher:Elsevier
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2024/08/13
Copyright:© 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC license.
Funding:This work was supported by the Natural Sciences and Engineering Research Council (NSERC), under grant #R611547.
Keyword:Benchmark system; FOV reduction; Motion Sickness; VR sickness; Virtual nose; virtual reality
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
Entry in this database:2024/08/26
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International