Literature DB >> 22908675

Measuring patterns in team interaction sequences using a discrete recurrence approach.

Jamie C Gorman1, Nancy J Cooke, Polemnia G Amazeen, Shannon Fouse.   

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.

Entities:  

Mesh:

Year:  2012        PMID: 22908675     DOI: 10.1177/0018720811426140

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  5 in total

Review 1.  Defining the methodological challenges and opportunities for an effective science of sociotechnical systems and safety.

Authors:  Patrick Waterson; Michelle M Robertson; Nancy J Cooke; Laura Militello; Emilie Roth; Neville A Stanton
Journal:  Ergonomics       Date:  2015-04-02       Impact factor: 2.778

Review 2.  Understanding and Modeling Teams As Dynamical Systems.

Authors:  Jamie C Gorman; Terri A Dunbar; David Grimm; Christina L Gipson
Journal:  Front Psychol       Date:  2017-07-11

3.  Interpersonal Movement Synchrony Responds to High- and Low-Level Conversational Constraints.

Authors:  Alexandra Paxton; Rick Dale
Journal:  Front Psychol       Date:  2017-07-28

4.  Understanding health management and safety decisions using signal processing and machine learning.

Authors:  Lisa Aufegger; Colin Bicknell; Emma Soane; Hutan Ashrafian; Ara Darzi
Journal:  BMC Med Res Methodol       Date:  2019-06-13       Impact factor: 4.615

5.  Modeling Temporal Interaction Dynamics in Organizational Settings.

Authors:  Nale Lehmann-Willenbrock; Joseph A Allen
Journal:  J Bus Psychol       Date:  2017-08-26
  5 in total

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