By extracting communication sequences from audio data collected during two separate five-person mission-planning tasks, interaction patterns in team communication were analyzed using a recurrence-based, nonlinear dynamics approach. These methods, previously successful in detecting pattern change in a three-person team task, were evaluated for their applicability to larger team settings, and their ability to detect pattern change when team members switched roles or locations partway through the study (Study 1) or change in patterns over time (Study 2).
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- Partial requirement for: M.S., Arizona State University, 2012Note typethesis
- Includes bibliographical references (p. 36-39)Note typebibliography
- Field of study: Applied psychology