A visual Attention-Based model for VR sickness assessment

Key Points

• The model predicts virtual reality sickness based on visual attention metrics, enhancing assessment accuracy.
• Key findings indicate a strong correlation between visual attention anomalies and reported sickness levels; 85% accuracy was noted.
• Observational analysis of user behavior in VR environments offered insights into physiological responses.
• The findings highlight the need for tailored solutions to reduce VR-related adverse effects, informing design improvements.