A Computational Approach to Examining Team Coordination Breakdowns During Crisis Situations

During crisis situations, teams are more prone to coordination breakdowns that characterized by a temporary, diminished ability function effectively as team. However, team research currently lacks robust approaches for identifying transitions from effective functioning breakdowns. With the current study, we aimed develop such approaches, and deepen our understanding of how dynamics across various physiological signals reflect Consequently, used audiovisual data four-person involved in stressful collaborative game task manually identify Next, set out computationally applying continuous measures (windowed synchronization coefficient multidimensional recurrence quantification analysis) photoplethysmogram electrodermal activity obtained during task, therein with change point nonlinear prediction algorithms. We found computational breakdown identification can up 96% identified although results also show precision falls far behind. Our findings contribute theoretically methodologically systematic investigation breakdowns, which may ultimately facilitate support responding mitigating negative consequences situations.