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Cusp Catastrophe Models for Cognitive Workload and Fatigue for Teams Making Dynamic Decisions.

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Area of Science:

  • Cognitive psychology
  • Human-computer interaction
  • Team dynamics

Background:

  • Cognitive workload and fatigue significantly impact team performance in dynamic decision-making.
  • Cusp catastrophe models offer a framework to understand abrupt shifts in performance due to these factors.

Purpose of the Study:

  • To evaluate the applicability of cusp models for workload and fatigue in team-based dynamic decision-making.
  • To identify specific cognitive and emotional factors influencing performance bifurcations.

Main Methods:

  • 32 groups (3-5 members) played a first-person shooter game, engaging in dynamic decision-making.
  • Subjective workload ratings and cognitive measures (elasticity vs. rigidity) were collected.
  • Cusp models were applied to analyze performance data in relation to workload and fatigue.

Main Results:

  • Workload cusp models showed performance bifurcations linked to emotional intelligence, cognitive flexibility, and decisiveness (R2=.54-.56).
  • Subjective workload models indicated bifurcation with higher perceived demand and effort (R2=.51).
  • Fatigue models revealed bifurcation related to fewer game rounds and smaller group sizes with AI agents (R2=.66-.67).

Conclusions:

  • Cusp models are generalizable to workload and fatigue in team dynamic decision-making.
  • Further research is needed on autonomic synchrony and human-autonomy team dynamics.