Presentation
62. Predicting Accidents in Conditional Autonomous Driving: A Multimodal Approach Integrating Human Misuse, Biometric Indicators, and Spatial Complexity
DescriptionThis study presents a multimodal framework integrating human factors(workload, situation awareness), biometrics(heart rate variability, eye-tracking), and spatial complexity to predict Level 2 autonomous driving accidents, achieving 73.7% accuracy via logistic regression, with age and workload as key predictors and elevated cognitive load in complex environments informing real-time adaptive safety interventions.
Event Type
Poster
TimeTuesday, 12 August 20259:00am - 5:30pm PDT
LocationWest Building, Level 2, Outside Room 219
Session TimeSunday, 10 August 20259:00am - 5:30pm PDTMonday, 11 August 20259:00am - 5:30pm PDTTuesday, 12 August 20259:00am - 5:30pm PDTWednesday, 13 August 20259:00am - 5:30pm PDTThursday, 14 August 20259:00am - 5:30pm PDT
LocationWest Building, Level 2, Outside Room 219
Full Conference
Experience
