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Abstract

Neurophysiologic synchronies (NS) are the second-by-second co-expression of the levels of cognitive measures by individual members of a team. Previously we showed that the NS obtained from EEG-derived measures of engagement (EEG-E) were not random across a variety of teamwork situations, but changed with changing task demands. In this study we hypothesized that the expression of different NS may represent unobserved states of the team and that the sequence of NS expression may contain long memory relevant to the performance of the team. To test this hypothesis we performed hidden Markov modeling of the EEG-E NS streams from novice and expert Navy submarine piloting and navigation teams and show that the dynamic expression of states derived from these models identified short and long-term changes in the behavior of teams.

Keywords

Team Cognition Problem Solving EEG Neurophysiologic Synchrony

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Temporal Sequences of Neurophysiologic Synchronies can Identify Changes in Team Cognition

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