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Autonomic Synchronization under Three Task Conditions and its Impact on Team Performance.
Stephen J Guastello1, Lucas Mirabito1, Anthony F Peressini1
1Marquette University, Milwaukee, WI.
Nonlinear Dynamics, Psychology, and Life Sciences
|December 20, 2019
Summary
This study introduces a new metric to measure physiological arousal synchronization in teams, finding it increases with team size and impacts workload and team satisfaction. Understanding team synchronization is key for performance.
Area of Science:
- Psychology
- Organizational Behavior
- Human Factors
Background:
- Psychologists have long studied group processes and team performance.
- The biopsychosocial perspective highlights the link between team processes, performance, and synchronized physiological arousal.
- Measuring synchronization in teams larger than two has been challenging due to a lack of appropriate metrics.
Purpose of the Study:
- To examine the connection between synchronized physiological arousal and team performance.
- To investigate the relationship between synchronization and group process outcomes.
- To apply the SE coefficient for measuring synchronization in teams.
Main Methods:
- Forty-three groups (N=197) of 3-8 participants engaged in a survival simulation.
- Synchronization coefficients were calculated for three distinct task segments: video, individual decision, and group decision.
- The SE coefficient was utilized to quantify physiological arousal synchronization.
Main Results:
- Synchronization levels were found to be higher in larger groups across all task segments.
- A specific synchronization pattern (higher during team tasks, lower otherwise) correlated with increased workload perceptions.
- This synchronization pattern also related to greater team dissatisfaction and reduced perceived need for time-sharing.
Conclusions:
- The SE coefficient provides a viable metric for assessing team synchronization.
- Team size influences physiological arousal synchronization.
- Specific synchronization patterns are linked to subjective experiences of workload, satisfaction, and team dynamics.

