Cross-Level Effects Between Neurophysiology and Communication During Team Training. 2016

Jamie C Gorman, and Melanie J Martin, and Terri A Dunbar, and Ronald H Stevens, and Trysha L Galloway, and Polemnia G Amazeen, and Aaron D Likens
Georgia Institute of Technology, Atlanta jamie.gorman@gatech.edu.

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. METHODS 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. CONCLUSIONS 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. CONCLUSIONS 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).

UI MeSH Term Description Entries
D008962 Models, Theoretical Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment. Experimental Model,Experimental Models,Mathematical Model,Model, Experimental,Models (Theoretical),Models, Experimental,Models, Theoretic,Theoretical Study,Mathematical Models,Model (Theoretical),Model, Mathematical,Model, Theoretical,Models, Mathematical,Studies, Theoretical,Study, Theoretical,Theoretical Model,Theoretical Models,Theoretical Studies
D009482 Neurophysiology The scientific discipline concerned with the physiology of the nervous system.
D003071 Cognition Intellectual or mental process whereby an organism obtains knowledge. Cognitive Function,Cognitions,Cognitive Functions,Function, Cognitive,Functions, Cognitive
D003142 Communication The exchange or transmission of ideas, attitudes, or beliefs between individuals or groups. Miscommunication,Misinformation,Social Communication,Communication Programs,Communications Personnel,Personal Communication,Communication Program,Communication, Personal,Communication, Social,Communications, Social,Miscommunications,Misinformations,Personnel, Communications,Program, Communication,Programs, Communication,Social Communications
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012660 Semantics The relationships between symbols and their meanings. Semantic
D016000 Cluster Analysis A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both. Clustering,Analyses, Cluster,Analysis, Cluster,Cluster Analyses,Clusterings

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