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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135134Z
LOCATION:Grand C/D South
DTSTART;TZID=America/Chicago:20251016T154000
DTEND;TZID=America/Chicago:20251016T160000
UID:HFESAM_ASPIRE 2025_sess212_LECT134@linklings.com
SUMMARY:A Bayesian Approach to Understanding the Relationship Between Self
 -Reported Mental Workload and Asset Similarity in Collaborative Combat Air
 craft Environments
DESCRIPTION:Jade Driggs (U.S. Air Force Research Laboratory); Margaret Ugo
 lini (BAE Systems Inc.); and Megan Morris, Christopher Hopkins, Joseph Lyo
 ns, and Christopher Myers (U.S. Air Force Research Laboratory)\n\nAutonomo
 us Collaborative Platforms, such as Collaborative Combat Aircraft (CCA) wi
 ll increase in use in United States Air Force (USAF) operations. Research 
 focused on CCA management will be met with participant recruitment challen
 ges. Military contexts are highly complex environments where the availabil
 ity of well-trained operators for research participation is limited due to
  competing operational mission priorities and small populations. To overco
 me this challenge, we highlight the benefits of a Bayesian statistical app
 roach, which can leverage prior experimental data to mitigate statistical 
 power concerns. We applied this approach to examine the relationship betwe
 en self-reported mental workload and asset similarity in CCA missions, dra
 wing on prior experimental data from a related study. Using a high-fidelit
 y manned-unmanned teaming simulator, pilots completed two missions, during
  which they supervised a team of four CCAs, while flying their own next-ge
 neration fighter aircraft. Results suggested no differences in self-report
 ed mental workload as a function of CCA asset similarity. Advantages of th
 e approach are discussed along with future research opportunities.\n\nTrac
 k: Human AI Robot Teaming (AI)\n\nSession Chairs: Andres Rosero (George Ma
 son University) and Robert Spenceley (University of Wisconsin - Madison, C
 olorado State University)\n\n
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