Presentation
Predicting Passenger Anxiety with a Spatio-Temporal PIGNN in VR Autonomous Driving
SessionPosters
DescriptionWe propose a spatio-temporal physics-informed graph neural network (PIGNN) that predicts passenger anxiety using gaze and context data collected in a fully autonomous virtual reality driving simulation.
Event Type
Poster
TimeTuesday, 16 December 20259:00am - 6:00pm HKT
LocationHall 3F/G Concourse, Level 3
