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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

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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    Date Created
    • 2012
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2012
      Note type
      thesis
    • Includes bibliographical references (p. 36-39)
      Note type
      bibliography
    • Field of study: Applied psychology

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    by Shannon Fouse

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