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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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TZNAME:MST
DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:FLW Salon I
DTSTART;TZID=America/Phoenix:20240912T152000
DTEND;TZID=America/Phoenix:20240912T154000
UID:HFESAM_ASPIRE - Presented by HFES_sess255_LECT142@linklings.com
SUMMARY:Task-Allocation Decisions of Human-UAS Collaboration: Effects of W
 orkload, Trust, and Self-Confidence
DESCRIPTION:Lecture\n\nYining (Elena) Zhang and Jing Chen (Rice University
 ), Liang Sun (New Mexico State University), Bin Hu (University of Houston)
 , and Michael Politowicz and Eric Chancey (NASA Langley Research Center)\n
 \nUncrewed Aerial Systems (UAS) show promise in urban air transport, packa
 ge delivery, and emergency services. UAS efficiency can be significantly i
 mproved by having multiple operators (m) managing a greater number of vehi
 cles (N), or the m:N architecture of operation. The current study investig
 ates how workload affects operators’ task-allocation decision-making and t
 he potential mediating effects of two crucial human factors, trust and sel
 f-confidence. In the context of a simulated UAS package-delivery task unde
 r the m:N architecture, two groups of participants with different levels o
 f expertise in UAS operation will be recruited: UAS pilots and university 
 students. Each participant will watch two sets of videos with different wo
 rk-load manipulations and report their preferred task-allocation strategy 
 for various subtasks. Measures of perceived workload, trust, and self-conf
 idence will be conducted after each video session. Findings will inform op
 timizing task-allocation designs for UAS missions, considering operators' 
 decision-making needs and expertise disparities.\n\nTrack: Student Forum\n
 \nSession Chair: Abigail Jei (Texas A&M University)
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