CyberGuard: Personalized Real-Time Prediction and Mitigation of Cybersickness through Objective Body Measures

• Applicant: Dr.-Ing. Colin Groth
• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: since 2025
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 557564533

The project aims to make virtual reality (VR) more comfortable by predicting and mitigating cybersickness, which is similar to motion sickness caused by VR. It focuses on two main objectives: predicting when cybersickness will occur and reacting quickly to prevent it from worsening. Firstly, the project will use eye-tracking technology and machine learning algorithms to predict cybersickness in real-time. This involves monitoring users' eye movements and other physiological signals to detect early symptoms of discomfort. By analyzing this data with advanced neural networks, the system can provide warnings before users start experiencing severe symptoms. Secondly, when the system predicts that a user might experience cybersickness, it will adapt the visual content to alleviate discomfort. This could involve altering the visual output or recommending breaks if necessary. The system's reactions are personalized, taking into account each user's unique physiological responses and adjusting the VR experience accordingly.

• DFG Programme: WBP Fellowship
• International Connection: USA
• Host: Qi Sun, Ph.D.