During crisis situations, teams are more prone to coordination breakdowns (CBs) that are characterized by a temporary, diminished ability to function effectively as a team. However, team research currently lacks robust approaches for identifying transitions from effective team functioning to CBs. With the current study, we aim to develop such robust approaches, and to deepen our understanding of how team coordination dynamics across various interaction modalities reflect CBs. Consequently, we

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... ed audiovisual data from four person teams involved in a stressful collaborative game task to manually identify CBs. Next, we set out to computationally identify CBs by applying continuous measures of team coordination (windowed synchronization coefficient and multidimensional recurrence quantification analysis) to photoplethysmogram and electrodermal activity data obtained during the task, and identifying transitions therein with change point and nonlinear prediction algorithms. In the current paper, we present promising computational CB identification approaches that can identify up to 96% of the manually identified CBs. Our findings contribute theoretically and methodologically to the systematic investigation of CBs, which may ultimately facilitate the support of teams in responding to and mitigating negative consequences of crisis situations.