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Physiological Synchronization in Emergency Response Teams: Subjective Workload, Drivers and Empaths.

Stephen J Guastello1, David E Marra1, Claire Perna1

  • 1Marquette University, Milwaukee, WI.

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Summary

This study examined physiological synchronization in emergency response (ER) teams, finding that time pressure influences workload and team dynamics. Empathic team members, identified through GSR data, contributed more positively to problem-solving.

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Area of Science:

  • Psychology
  • Human-Computer Interaction
  • Physiology

Background:

  • Behavioral and physiological synchronization are crucial for team performance, workload management, and coordinated actions.
  • Previous research focused on dyads; this study extends analysis to larger teams (3-4 people).

Purpose of the Study:

  • To investigate the nonlinear statistical structure of Galvanic Skin Response (GSR) series in larger teams.
  • To explore the impact of time pressure on team synchronization, workload, and problem-solving contributions.
  • To identify team member roles (drivers and empaths) based on physiological data.

Main Methods:

  • Eleven emergency response (ER) teams played simulated games under varying time pressure conditions.
  • Galvanic Skin Response (GSR) data were collected and analyzed for nonlinear statistical structure, autocorrelation, and cross-influence.
  • Subjective ratings of workload and problem-solving contributions were collected from team members.

Main Results:

  • Optimal lag length for teams was shorter than for dyads, suggesting tighter phase-locking.
  • Time pressure induced complex nonlinear effects on GSR autocorrelation, reflecting workload and fatigue.
  • Team members classified as 'empaths' received higher peer ratings for problem-solving contributions than 'drivers'.
  • Larger Lyapunov exponents from GSR data correlated positively with subjective workload and negatively with leadership indicators.

Conclusions:

  • Physiological synchronization patterns differ between dyads and larger teams.
  • Time pressure significantly impacts team dynamics and workload, detectable through GSR analysis.
  • Identifying team roles like 'drivers' and 'empaths' through physiological data offers insights into team functioning and leadership.