Nonlinear dynamics of team performance and adaptability in emergency response

Area of Science:

• Team dynamics and performance analysis.
• Application of nonlinear dynamical systems (NDS) theory.
• Emergency response (ER) and crisis management.

Background:

• NDS principles are relevant to various disaster scenarios like hurricanes and tsunamis.
• Team coordination, adaptation, and performance in dynamic decision-making are intrinsically linked to NDS.
• Understanding these dynamics is vital for effective emergency response.

Purpose of the Study:

• To examine the impact of team size and performance feedback on ER team adaptation and performance.
• To introduce a metric for quantifying adaptation levels using NDS theory.
• To identify optimal team sizes for enhanced performance in dynamic environments.

Main Methods:

• Performance was assessed in a dynamic decision task involving ER teams and an attacker.
• Teams of varying sizes (N=225 undergraduates) participated.
• Nonlinear regression analysis evaluated the complexity of adaptation strategies and opponent performance influence.

Main Results:

• An optimal team size for ER performance was identified.
• Teams were more susceptible to opponent performance feedback than vice versa.
• Opponent actions sometimes hindered the adaptive capabilities of both teams and attackers.

Conclusions:

• ER teams require a critical mass for ideas but must avoid compromising coordination through excessive size.
• ER teams utilized self-organized strategies that could be more adaptive; attackers employed chaotic strategies.
• The NDS model and findings apply to ER processes and dynamic decision-making training, potentially excluding hierarchical groups.