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DTSTAMP:20251016T135126Z
LOCATION:Grand Hall L
DTSTART;TZID=America/Chicago:20251014T135000
DTEND;TZID=America/Chicago:20251014T141000
UID:HFESAM_ASPIRE 2025_sess103_LECT503@linklings.com
SUMMARY:Investigating Team Adaptation through Warfighter Communications
DESCRIPTION:Jayci Landfair, Matthew Peel, Polemnia Amazeen, and Nancy Cook
 e (Arizona State University)\n\nAdaptation is essential for maintaining te
 am effectiveness in dynamic environments (Burke et al., 2006; Gorman and W
 iltshire, 2024). While past research has primarily focused on individual-l
 evel constructs, like shared mental models or aggregated perceptions, thes
 e approaches often overlook how adaptation emerges at the team level throu
 gh collective interaction (Gorman et al., 2010). Recent frameworks grounde
 d in Interactive Team Cognition emphasize dynamic coordination, treating t
 eams as self-organizing systems that evolve over time (Cooke et al., 2013)
 . Accordingly, communication functions as a medium for coordination and a 
 behavioral manifestation of adaptive reorganization. Analyzing how communi
 cation structures shift over time offers insight into processes that impac
 t performance (Gorman et al., 2017). In this study, we applied Collective 
 Systems Adaptation (CSA) analysis, a multivariate time-series method, to q
 uantify communication adaptation events. CSA captures adaptation events by
  detecting temporally aligned shifts across five measures of communication
  dynamics. Using data from 28 simulated combat missions, we examined how a
 daptations related to mission performance. Results indicate that larger, l
 ess frequent adaptations were positively associated with accuracy, while g
 reater cumulative adaptation predicted lower overall performance. This sup
 ports a systems-oriented account of team adaptation, suggesting that CSA o
 ffers a promising approach for capturing real-time reorganization in team 
 communication structures.\n\nTrack: Communications\n\nSession Chair: Aaron
  Bangor (AT&T)\n\n
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