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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135133Z
LOCATION:Grand Hall L
DTSTART;TZID=America/Chicago:20251015T113000
DTEND;TZID=America/Chicago:20251015T115000
UID:HFESAM_ASPIRE 2025_sess265_LECT537@linklings.com
SUMMARY:Investigating Shifts in Driver Attention and Trust Across Manual a
 nd Autonomous Driving: Insights from Eye-Tracking Metrics
DESCRIPTION:Yuan Cai (UTBM); Mustafa Demir (Texas A&M University, Arizona 
 State University); Farzan Sasangohar (Texas A&M University); and Mohsen Za
 re (UTBM)\n\nThis study investigates how drivers’ trust in automation affe
 cts their visual attention during both manual and autonomous driving. Usin
 g a high-fidelity simulator and eye-tracking technology, 34 participants n
 avigated 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 directe
 d to the road, while automation shifted focus toward in-vehicle displays. 
 Higher trust in automation led to longer and more frequent fixations on in
 ternal displays and slower detection of external hazards, suggesting reduc
 ed situation awareness. These findings highlight the safety challenges ass
 ociated with growing reliance on automated systems and the need for real-t
 ime driver monitoring. Future work will explore adaptive support systems t
 hat adjust based on drivers’ attention and trust levels to ensure safer en
 gagement during transitions between manual and automated control.\n\nTrack
 : Surface Transportation\n\nSession Chairs: Shashank Mehrotra (Honda Resea
 rch Institute USA) and Yinsu Zhang (University of Wisconsin - Madison)\n\n
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