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X-LIC-LOCATION:America/Chicago
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TZOFFSETTO:-0500
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20251016T135129Z
LOCATION:Grand B
DTSTART;TZID=America/Chicago:20251015T154000
DTEND;TZID=America/Chicago:20251015T160000
UID:HFESAM_ASPIRE 2025_sess210_LECT106@linklings.com
SUMMARY:Investigating the Effects of Driver-Vehicle Availability in Human-
 Autonomous Vehicle Teaming (HAVT)
DESCRIPTION:Maya Luster and Brandon Pitts (Purdue University)\n\nAs automa
 ted vehicles (AVs) become more intelligent, the concept of teaming with a 
 semi-autonomous AV has gained considerable traction. However, few empirica
 l studies exist that quantify the performance of an AV-(human) driver team
 . To contribute to the existing work in this area, the purpose of this stu
 dy was to examine how the availability of both a vehicle and driver agent,
  or the unavailability of one agent, influenced teaming in driving. Fourte
 en participants drove a simulated semi-autonomous vehicle where the goals 
 of the vehicle and driver varied. The vehicle’s individual goal was to man
 age the dynamic driving task. The driver’s individual goal was to complete
  a work-related document-editing task. Together, the vehicle would ask the
  driver about potential roadway dangers and the driver would respond to th
 e vehicle’s queries. Overall, introducing availability allowed for functio
 n allocations where drivers had individual goals separate from driving, le
 ading drivers to acquire greater completion and higher accuracy on their w
 ork-related task when signaling their unavailability. Drivers believed the
 y were teaming most (79%) when the vehicle asked for their input. Study re
 sults provide initial insights into operationalizing the future vision of 
 AVs where safety and driver productivity during commutes are maximized.\n\
 nTrack: Human AI Robot Teaming (AI)\n\nSession Chair: Maha Khalid (Rice Un
 iversity)\n\n
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