Using communication to modulate neural synchronization in teams

dc.contributor.advisor Gorman, Jamie C.
dc.contributor.author Dunbar, Terri
dc.contributor.committeeMember Duarte, Audrey
dc.contributor.committeeMember Thomas, Rick
dc.contributor.committeeMember Stevens, Ron
dc.contributor.department Psychology
dc.date.accessioned 2019-08-21T13:50:36Z
dc.date.available 2019-08-21T13:50:36Z
dc.date.created 2019-08
dc.date.issued 2019-04-10
dc.date.submitted August 2019
dc.date.updated 2019-08-21T13:50:37Z
dc.description.abstract Trainers often assess team processes in conjunction with team performance outcomes to identify which behaviors contributed to the success or failure of the team during training. A current topic in team research is developing covert measures, which are easier to analyze in real-time, to identify team processes as they occur during training; however, little is known about how exactly overt and covert measures of team process relate to one another. In my thesis, I investigated the relationship between overt and covert measures of team process by manipulating the interaction partner (participant or experimenter) team members worked with and the type of task (decision-making or action-based) teams performed to assess their effects on team neural synchronization (measured as neurodynamic entropy) and communication (measured as both flow and content). The results indicated that the type of task affected how the teams dynamically structured their communication but had no effect on the neural synchronization of the team when averaged across the task session. The interaction partner also had no effect on team neural synchronization when averaged. However, there were significant relationships over time between neural synchronization and the communication flow and content due to both the type of task and the interaction partner. Specifically, significant relationships across time were observed when participants were interacting with the other participant, during the second task trial, and across different areas of the cortex in the beta frequency depending on the type of task being performed. The findings from the time series analysis extend my previous work on task constraints and communication dynamics by illustrating that the interaction partner and the team’s task constraints also structure the relationship between team communication and neural synchronization across time, suggesting that these need to be taken into account when developing covert measures of team process.
dc.description.degree M.S.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/61683
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Neural synchronization
dc.subject Team coordination
dc.subject Nonlinear dynamics
dc.subject Entropy
dc.subject Team communication
dc.title Using communication to modulate neural synchronization in teams
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.advisor Gorman, Jamie C.
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Psychology
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relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication 768a3cd1-8d73-4d47-b418-0fc859ce897d
thesis.degree.level Masters
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