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PRODID:Linklings LLC
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TZID:America/Phoenix
X-LIC-LOCATION:America/Phoenix
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TZOFFSETFROM:-0700
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DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:FLW Salon G
DTSTART;TZID=America/Phoenix:20240912T085000
DTEND;TZID=America/Phoenix:20240912T091000
UID:HFESAM_ASPIRE - Presented by HFES_sess222_LECT335@linklings.com
SUMMARY:Differentiating High Cognitive Load and Drowsiness Using Driver Pe
 rformance and Physiology
DESCRIPTION:Lecture\n\nSuzan Ayas (University of Toronto), Dengbo He (The 
 Hong Kong University of Science and Technology), and Birsen Donmez (Univer
 sity of Toronto)\n\nNext generation of vehicles are expected to have a dri
 ver monitoring system (DMS) that can detect when the driver is distracted,
  stressed, or sleepy. These systems could enable the vehicle to initiate a
 ppropriate interventions to help regulate driver mental workload. Therefor
 e, these systems need to be able to clearly separate high cognitive load f
 rom extended periods of low cognitive load. However, some of the popular m
 easures can follow similar patterns under these two states. The objective 
 of this simulator experiment is to examine the impacts of high cognitive l
 oad and drowsiness on driving performance and driver physiology to explore
  the utility of relevant measures in driver monitoring, and to classify th
 ese two subobtimal driver states.\n\nTrack: Surface Transportation\n\nSess
 ion Chairs: Aries Chu (San Jose State University) and Gaojian Huang (San J
 ose State University)
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