Measuring Patterns in Team Interaction Sequences Using a Discrete Recurrence Approach

Abstract

OBJECTIVE: Recurrence-based measures of communication determinism and pattern information are described and validated using previously collected team interaction data. BACKGROUND: Team coordination dynamics has revealed that"mixing" team membership can lead to flexible interaction processes, but keeping a team "intact" can lead to rigid interaction processes. We hypothesized that communication of intact teams would have greater determinism and higher pattern information compared to that of mixed teams. METHOD: Determinism and pattern information were measured from three-person Uninhabited Air Vehicle team communication sequences over a series of 40-minute missions. Because team members communicated using push-to-talk buttons, communication sequences were automatically generated during each mission. RESULTS: The Composition x Mission determinism effect was significant. Intact teams' determinism increased over missions, whereas mixed teams' determinism did not change. Intact teams had significantly higher maximum pattern information than mixed teams. CONCLUSION: Results from these new communication analysis methods converge with content-based methods and support our hypotheses. APPLICATION: Because they are not content based, and because they are automatic and fast, these new methods may be amenable to real-time communication pattern analysis.

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