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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190030Z
LOCATION:West Building\, Level 2\, Outside Room 219
DTSTART;TZID=America/Los_Angeles:20250813T090000
DTEND;TZID=America/Los_Angeles:20250813T173000
UID:siggraph_SIGGRAPH 2025_sess431_pos_294@linklings.com
SUMMARY:62. Predicting Accidents in Conditional Autonomous Driving: A Mult
 imodal Approach Integrating Human Misuse, Biometric Indicators, and Spatia
 l Complexity
DESCRIPTION:EUN HYE JANG, MI CHANG, Woojin Kim, and Daesub Yoon (Electroni
 cs and Telecommunications Research Institute (ETRI))\n\nThis study present
 s a multimodal framework integrating human factors(workload, situation awa
 reness), biometrics(heart rate variability, eye-tracking), and spatial com
 plexity to predict Level 2 autonomous driving accidents, achieving 73.7% a
 ccuracy via logistic regression, with age and workload as key predictors a
 nd elevated cognitive load in complex environments informing real-time ada
 ptive safety interventions.\n\nRegistration Category: Full Conference, Exp
 erience\n\n
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