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Cybersickness and Its Severity Arising from Virtual Reality Content: A Comprehensive Study
1Department of Applied AI, Hansung University, Seoul 02876, Korea.
Sensors (Basel, Switzerland)
|February 26, 2022
Summary
Virtual reality (VR) cybersickness, causing nausea and disorientation, can be quantified. This study identifies key VR content factors and biological signals that significantly predict cybersickness severity.
Area of Science:
- Neuroscience
- Human-Computer Interaction
- Virtual Reality
Background:
- Virtual reality (VR) use frequently induces cybersickness, characterized by symptoms like nausea and disorientation.
- Understanding the factors contributing to cybersickness is crucial for improving VR user experience.
Purpose of the Study:
- To quantitatively analyze how VR content attributes influence cybersickness.
- To identify reliable predictors of cybersickness severity using subjective and objective measures.
Main Methods:
- Generated 52 VR scenes (CYRE content) varying in attributes like camera movement and field of view.
- Collected subjective cybersickness scores and objective biological signals from 154 participants.
- Utilized statistical analysis to identify correlations between VR attributes, biological data, and cybersickness.
Main Results:
- Cybersickness severity strongly correlated with six specific brain activity features (e.g., Fp1 delta waves), with R-squared > 0.9.
- Individual factors such as age and susceptibility were quantitatively linked to cybersickness levels.
- Developed predictive models for cybersickness with reliable performance using a labeled dataset.
Conclusions:
- VR content attributes and biological signals are significant determinants of cybersickness.
- The developed dataset and models offer a robust framework for cybersickness quantification.
- Findings facilitate the creation of more comfortable and immersive VR experiences.
