Immersive Human-Machine Intelligence
Our research in Immersive Human-Machine Intelligence spans three integrated pillars:
VR Sickness Modeling
Dynamically predict discomfort from multimodal inputs using computational models grounded in neuroscience.
Closed-loop Interaction
Utilize real-time physiological sensing (EEG, HRV, EDA) to drive adaptive control in immersive systems.
XR Applications
Enhance immersive education, digital art, and human potential through cutting-edge extended reality.
Guided by human-centered intelligence, we bridge computational neuroscience and immersive technology to augment human experiences.