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VERSION:2.0
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:McArthur Ballroom
DTSTART;TZID=America/Phoenix:20240912T173000
DTEND;TZID=America/Phoenix:20240912T183000
UID:HFESAM_ASPIRE - Presented by HFES_sess108_POS355@linklings.com
SUMMARY:57. The Impact of Communication Timing and Sequencing on Team Perf
 ormance: A Comparative Study of Human-AI and All-Human Teams
DESCRIPTION:Poster\n\nShiwen Zhou and Jamie Gorman (Arizona State Universi
 ty)\n\nCommunication is critical to team coordination and interaction beca
 use it provides information flows, allowing a team to build team cognition
 , which contributes to overall team performance. Recent advancements in la
 rge language models (LLMs) have enhanced AI's capability to mimic human-li
 ke interactions, however, issues remain regarding the timing and sequencin
 g of these communications. Using data from a remotely piloted aircraft sys
 tem (RPAS) task involving human-AI and all-human teams, the current study 
 employed comparative analysis to investigate communication timing and sequ
 ence. Findings indicated that while all-human and human-AI team communicat
 ion dynamics may differ in terms of timing, it is the sequencing of commun
 icative messages that predicts team performance. In this way, the current 
 study hopes these communication feature differences can provide feedback a
 nd suggestions for the future adoption of AI as a teammate in team trainin
 g and team operations.\n\nTrack: Aging, Augmented Cognition, Children's Is
 sues, Communications, Cybersecurity, Education, Environmental Design, Gene
 ral Sessions, Human AI Robot Teaming (AI), Macroergonomics, Occupational E
 rgonomics, Student Forum, Surface Transportation, Sustainability, System D
 evelopment
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