Presentation
Investigating Shifts in Driver Attention and Trust Across Manual and Autonomous Driving: Insights from Eye-Tracking Metrics
DescriptionThis study investigates how drivers’ trust in automation affects their visual attention during both manual and autonomous driving. Using a high-fidelity simulator and eye-tracking technology, 34 participants navigated scenarios requiring frequent transitions between manual and Level 3 autonomous modes. Eye-tracking measures captured how drivers allocated attention across critical areas such as the road and in-vehicle displays. Results showed that during manual driving, attention was primarily directed to the road, while automation shifted focus toward in-vehicle displays. Higher trust in automation led to longer and more frequent fixations on internal displays and slower detection of external hazards, suggesting reduced situation awareness. These findings highlight the safety challenges associated with growing reliance on automated systems and the need for real-time driver monitoring. Future work will explore adaptive support systems that adjust based on drivers’ attention and trust levels to ensure safer engagement during transitions between manual and automated control.
Event Type
Lecture
TimeWednesday, October 15th11:30am - 11:50am CDT
LocationGrand Hall L
Surface Transportation
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