Literature DB >> 26391663

Cross-Level Effects Between Neurophysiology and Communication During Team Training.

Jamie C Gorman1, Melanie J Martin2, Terri A Dunbar3, Ronald H Stevens4, Trysha L Galloway5, Polemnia G Amazeen4, Aaron D Likens6.   

Abstract

OBJECTIVE: We investigated cross-level effects, which are concurrent changes across neural and cognitive-behavioral levels of analysis as teams interact, between neurophysiology and team communication variables under variations in team training.
BACKGROUND: When people work together as a team, they develop neural, cognitive, and behavioral patterns that they would not develop individually. It is currently unknown whether these patterns are associated with each other in the form of cross-level effects.
METHOD: Team-level neurophysiology and latent semantic analysis communication data were collected from submarine teams in a training simulation. We analyzed whether (a) both neural and communication variables change together in response to changes in training segments (briefing, scenario, or debriefing), (b) neural and communication variables mutually discriminate teams of different experience levels, and (c) peak cross-correlations between neural and communication variables identify how the levels are linked.
RESULTS: Changes in training segment led to changes in both neural and communication variables, neural and communication variables mutually discriminated between teams of different experience levels, and peak cross-correlations indicated that changes in communication precede changes in neural patterns in more experienced teams.
CONCLUSION: Cross-level effects suggest that teamwork is not reducible to a fundamental level of analysis and that training effects are spread out across neural and cognitive-behavioral levels of analysis. Cross-level effects are important to consider for theories of team performance and practical aspects of team training. APPLICATION: Cross-level effects suggest that measurements could be taken at one level (e.g., neural) to assess team experience (or skill) on another level (e.g., cognitive-behavioral).
© 2015, Human Factors and Ergonomics Society.

Entities:  

Keywords:  communication; coordination; cross-correlation; latent semantic analysis; neurophysiology; teams

Mesh:

Year:  2015        PMID: 26391663     DOI: 10.1177/0018720815602575

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


  5 in total

1.  multiSyncPy: A Python package for assessing multivariate coordination dynamics.

Authors:  Dan Hudson; Travis J Wiltshire; Martin Atzmueller
Journal:  Behav Res Methods       Date:  2022-05-05

2.  Windowed multiscale synchrony: modeling time-varying and scale-localized interpersonal coordination dynamics.

Authors:  Aaron D Likens; Travis J Wiltshire
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

Review 3.  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

4.  Exploring how healthcare teams balance the neurodynamics of autonomous and collaborative behaviors: a proof of concept.

Authors:  Ronald Stevens; Trysha L Galloway
Journal:  Front Hum Neurosci       Date:  2022-07-28       Impact factor: 3.473

5.  Are Neurodynamic Organizations A Fundamental Property of Teamwork?

Authors:  Ronald H Stevens; Trysha L Galloway
Journal:  Front Psychol       Date:  2017-05-02
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.