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TZID:America/Chicago
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135135Z
LOCATION:Grand A
DTSTART;TZID=America/Chicago:20251015T152000
DTEND;TZID=America/Chicago:20251015T154000
UID:HFESAM_ASPIRE 2025_sess220_LECT577@linklings.com
SUMMARY:Different Methods of Team Adaptation in Response to Uncertainty
DESCRIPTION:Shiwen Zhou (Arizona State University; Center for Human, Artif
 icial Intelligence, and Robot Teaming); David Grimm (Georgia Institute of 
 Technology, Arizona State University); Aaron Teo and Rezvan Yousefi (Arizo
 na State University); and Jamie Gorman (Arizona State University; Center f
 or Human, Artificial Intelligence, and Robot Teaming)\n\nTeams operating i
 n high-stakes environments must adapt to various sources of uncertainty, i
 ncluding disruptions introduced by teammates. This study examined how thre
 e-member teams operating a simulated UAV manage uncertainty caused by a te
 ammate providing incorrect information, wherein one confederate team membe
 r injected uncertainty inducing perturbations during the reconnaissance ph
 oto-taking process. Adopting a mixed-methods approach, we assessed the rel
 ationship between teammate influence and team performance quantitatively u
 sing mutual information and identified behavioral strategies from qualitat
 ive analysis. Quantitative results did not support our hypotheses, that th
 e confederate navigator would exert less influence during perturbations th
 an during normal segments and that navigator influence would be significan
 tly related to team performance. However, an exploratory analysis revealed
  that pilots consistently exerted greater influence across all segments, s
 uggesting their central role in coordination. Qualitative results revealed
  that timely detection, structured communication, and verification behavio
 rs distinguished successful teams. These findings contribute to understand
 ing adaptive teamwork in response to uncertainty and highlight the importa
 nce of training interventions—such as cross-training and perturbation expo
 sure—for improving team resilience in dynamic environments.\n\nTrack: Cogn
 itive Engineering & Decision Making, Human AI Robot Teaming (AI)\n\nSessio
 n Chairs: Changwon Son (Texas Tech University) and Ekim Koca (University o
 f Virginia)\n\n
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