2024/08/13 by Rose Rouhani, Narmada Umatheva, Jannik Brockerhoff +4 · 1 voice
Computer Science · Medicine · #Virtual Reality Applications and Impacts #Stroke Rehabilitation and Recovery
paper · doi:10.1016/j.displa.2024.102807
openalex publication_date 2024/08/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
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. • Novel methodological framework to standardize and benchmark VR sickness assessment. • Reliable and quick VR sickness induction with rapid recovery post-stimulus. • Minimal carry-over effects for cost- and time-effective within-subject studies. • Systematic comparison of static/dynamic FOV reduction, blur, virtual nose techniques. • Paving the way for building a comprehensive VR sickness database.