Presentation
Emotion-Aware Autonomous Driving: A VR-Based Multimodal Analysis Using Gaze and Physiological Signals
SessionPosters
DescriptionThis study uses VR-based autonomous driving scenarios with Calm and Tense styles to analyze multimodal responses. A Random Forest classifier achieved 97.1% accuracy, demonstrating feasibility of emotion-aware driving systems.
Event Type
Poster
TimeTuesday, 16 December 20259:00am - 6:00pm HKT
LocationHall 3F/G Concourse, Level 3
