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VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Phoenix
X-LIC-LOCATION:America/Phoenix
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:McArthur Ballroom
DTSTART;TZID=America/Phoenix:20240912T173000
DTEND;TZID=America/Phoenix:20240912T183000
UID:HFESAM_ASPIRE - Presented by HFES_sess108_POS158@linklings.com
SUMMARY:39. Getting Along With Autonomous Teammates: Understanding the Soc
 io-Emotional and Teaming Aspects of Trust in Human-Autonomy Teams
DESCRIPTION:Poster\n\nWen Duan and Nan Weng (Clemson University), Matthew 
 Scalia and Ruihao Zhang (Arizona State University), Jessica Tuttle (Univer
 sity of Dayton Research Institute), Xiaoyun Yin and Shiwen Zhou (Arizona S
 tate University), Guo Freeman (Clemson University), Jamie Gorman (Arizona 
 State University), Gregory Funke and Michael Tolston (U.S. Air Force Resea
 rch Laboratory), and Nathan McNeese (Clemson University)\n\nTrust plays a 
 critical role in both effective teamwork and the effective use of autonomo
 us technologies, and therefore holds paramount importance in human-autonom
 y teaming (HAT). With rapid advancements in large language models, autonom
 ous teammates have increasing potential to communicate and coordinate like
  a human using natural human language, presenting challenges and opportuni
 ties for understanding how these behaviors might influence social percepti
 ons and trust. Using qualitative analysis of the interviews with participa
 nts who collaborated in a three-member HAT, this study is the first to ide
 ntify the socio-emotional and team-related qualities that humans desire in
  their autonomous teammate for them to trust it. Findings of this study pr
 ovide valuable insights into the design of trustworthy autonomous teammate
 s and effective human-autonomy collaboration.\n\nTrack: Aging, Augmented C
 ognition, Children's Issues, Communications, Cybersecurity, Education, Env
 ironmental Design, General Sessions, Human AI Robot Teaming (AI), Macroerg
 onomics, Occupational Ergonomics, Student Forum, Surface Transportation, S
 ustainability, System Development
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