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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20261012T210905Z
LOCATION:Summit Pavilion
DTSTART;TZID=America/Los_Angeles:20261021T173000
DTEND;TZID=America/Los_Angeles:20261021T183000
UID:HFESAM_ASPIRE 2026_sess257_POST241@linklings.com
SUMMARY:Exploratory Analysis Between Entropy-Based Team Dynamics and Team 
 Performance in Immersive Virtual Reality Training.
DESCRIPTION:Parkhi Malhotra (Arizona State University)\n\nThis exploratory
  study examined associations between entropy-based measures of team dynami
 cs and team performance in an immersive virtual reality (VR) team training
  environment. Six teams completed a VR-based Tactical Combat Casualty Care
  (TC3) training session within the Team Dynamics Measurement Framework (TD
 MF), consisting of two scenarios with pre-, break-, and post-scenario meas
 urements. Behavioral data were captured across four interaction layers: co
 mmunication, gaze, patient interaction, and an integrated system layer, an
 d entropy time series were computed using a moving window approach. Mean e
 ntropy, reflecting overall behavioral adaptation, and range entropy, refle
 cting adaptive capacity, were correlated with team dynamics ratings, self-
 efficacy, satisfaction, and system usability scores. Results indicated mod
 erate to large associations between entropy-based measures and performance
  outcomes, with range entropy demonstrating stronger and more consistent a
 ssociations than mean entropy across layers. The strongest observed effect
  was between early self-efficacy increases and system entropy range (r = .
 91), providing preliminary proof-of-concept support for entropy-based metr
 ics as dynamic indicators of adaptive team functioning. These findings sup
 port the use of entropy-based measures as process-sensitive indicators cap
 able of capturing how teams reorganize under pressure in immersive VR trai
 ning environments.\n\n
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