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VERSION:2.0
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:20241014T203101Z
LOCATION:FLW Salon C
DTSTART;TZID=America/Phoenix:20240910T141000
DTEND;TZID=America/Phoenix:20240910T143000
UID:HFESAM_ASPIRE - Presented by HFES_sess145_LECT634@linklings.com
SUMMARY:Disengaging Automation: Understanding Drivers’ Decisions to Turn o
 ff Vehicle Automation Using an Evidence Accumulation Framework
DESCRIPTION:Lecture\n\nAmudha Varshini Kamaraj, John Lee, Zhenhao Zhou, Xi
 nzhi Zhong, Vianney Renata, Wissam Kontar, Soyoung Ahn, and Dan Negrut (Un
 iversity of Wisconsin - Madison)\n\nStudies that have examined the effect 
 of automated vehicle driving styles on drivers’ decisions to engage or dis
 engage the automation generally assume that drivers monitor the automation
 . However, future vehicles are expected to free drivers from the driving t
 ask and enable engagement in non-driving related tasks (NDRTs). The effect
  of NDRT engagement on driver-vehicle interaction is unclear. Through an e
 mpirical study, this research examined the differences in decision-making 
 strategies between drivers assigned an NDRT and drivers who only monitored
  automation. The decisions to rely on the automation were examined through
  an evidence accumulation-based framework of decision-making. Results show
 ed that drivers engaged in NDRTs made reliance decisions quickly, while th
 ose who monitored the automation were slower decision makers. Additionally
 , the driving style had no clear effect on drivers’ disengagement decision
 s. These results suggest that situational demands arising from the NDRTs p
 layed a role in decisions related to automation reliance.\n\nTrack: Cognit
 ive Engineering & Decision Making\n\nSession Chair: Karen Feigh (Georgia I
 nstitute of Technology)
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