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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20261012T210904Z
LOCATION:Summit Pavilion
DTSTART;TZID=America/Los_Angeles:20261021T173000
DTEND;TZID=America/Los_Angeles:20261021T183000
UID:HFESAM_ASPIRE 2026_sess257_POST175@linklings.com
SUMMARY:Pilot Trust in Synthetic Co-Pilots: Can Code Be Crew?
DESCRIPTION:Laura Inderberg, Heather Lum, Ray Hao, and Bailey Buchanan (Ar
 izona State University)\n\nPilot trust in synthetic co-pilots (S-CoPs) is 
 expected to play a central role in the implementation of potential single-
 pilot operations. However, trust in automation is increasingly recognized 
 as a multidimensional construct rather than a single global attitude. The 
 present study examined how pilot characteristics predict multiple dimensio
 ns of trust in S-CoPs. A total of 160 licensed pilots completed an adapted
  version of the Trust in Automation (TiA) questionnaire and a measure of s
 elf-efficacy. A multivariate multiple regression analysis was conducted us
 ing age, years of experience, log-transformed flight hours, and self-effic
 acy as predictors of six TiA subscales: reliability, predictability, famil
 iarity, trust in developers’ intentions, propensity to trust, and overall 
 trust. Significant multivariate effects were observed for age, flight hour
 s, and self-efficacy. Follow-up analyses revealed distinct patterns across
  trust dimensions. Greater flight experience and higher self-efficacy were
  generally associated with reduced trust in performance-related dimensions
 , whereas age was associated with increased trust. Familiarity was not sig
 nificantly predicted by any pilot characteristic. Findings support a multi
 dimensional view of trust in automation and suggest that pilot trust in S-
 CoPs is shaped differently by operational experience, demographic factors,
  and self-perception.\n\n
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