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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135126Z
LOCATION:Grand Hall M/N
DTSTART;TZID=America/Chicago:20251015T120000
DTEND;TZID=America/Chicago:20251015T123000
UID:HFESAM_ASPIRE 2025_sess275_LECT506@linklings.com
SUMMARY:An Analysis of Team Adaptation using Geospatial Coordination Measu
 res of Combat Teams
DESCRIPTION:Matthew Peel and Jayci Landfair (Arizona State University), Cr
 aig Johnson (DEVCOM Army Research Lab), and Polemnia Amazeen and Nancy Coo
 ke (Arizona State University)\n\nAdaptability is an essential component of
  effective team performance (Burke et al., 2006; Gorman and Wiltshire, 202
 4). Teams adapt to changing circumstances and novel challenges by reorgani
 zing roles and strategies, coordinating heterogeneous knowledge, skills, a
 nd abilities. Many teams adapt through Geospatial Coordination (GC), which
  is the dynamic management of spatial relationships via strategic position
 ing and movement to achieve collective goals. Due to its dynamic nature, G
 C is often not fully understood under predominant team research paradigms,
  which focus on static or aggregate assessments (Cannon-Bowers et al., 199
 3; Gorman et al., 2017; Mathieu et al., 2020). We address this gap by asse
 ssing the GC of combat teams through continuous analysis of formation, spe
 ed, and spatial variability. This study employed Collective Systems Adapta
 tion (CSA) analysis to quantify GC adaptation events using passively colle
 cted movement data, offering a data-driven approach to assessing team effe
 ctiveness from time series. Our findings suggest that strategic, infrequen
 t adaptations in GC are linked to better performance, while excessive vari
 ability may hinder efficiency. This research offers a scalable method for 
 tracking and interpreting spatial adaptations, with implications for train
 ing, decision making, and operational planning across high-stakes domains.
 \n\nTrack: Training\n\nSession Chair: Liam D. Brennan (Embry-Riddle Aerona
 utical University, Limb & Branch Businesses LLC)\n\n
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