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The Geometry of Behavioral and Brain Dynamics in Team Coordination

  • Silke Dodel
  • Emmanuelle Tognoli
  • J. A. Scott Kelso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8027)

Abstract

Performing a task as a team requires that team members mutually coordinate their actions. It is this coordination that distinguishes the performance of a team from the same actions performed independently. Here we set out to identify signatures of team coordination in behavioral and brain dynamics. We use dual electroencephalography (EEG) to measure brain dynamics of dyadic teams performing a virtual room clearing task. Such complex tasks often exhibit high variability of behavioral and brain dynamics. Although such variability is often considered to impede identification of the behavior or brain dynamics of interest here we present a conceptual and empirical framework which explains variability in geometrical terms and classifies its sources into those that are detrimental and non-detrimental to performing the task at hand. Using our framework we found that behaviorally team coordination is reflected in terms of role dependent behavior. Furthermore we identified a low-dimensional subspace of the brain dynamics in the frequency domain which is specific for team behavior and correlated with successful team coordination. Moreover, successful team coordination was positively correlated with the inter- but not intra-brain coherence in the gamma band. Our results hence indicate that successful team coordination is associated with increased team cognition, particularly readiness to engage in the task.

Keywords

Team Performance Room Clearing Brain Dynamic Team Coordination Team Task 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Fiore, S.M., Salas, E., Cuevas, H.M., Bowers, C.A.: Distributed coordination space: Toward a theory of distributed team process and performance. Theoretical Issues in Ergonomics Science 4(3-4), 340–364 (2003)CrossRefGoogle Scholar
  2. 2.
    Cooke, N.J., Gorman, J.C., Duran, J.L., Taylor, A.R.: Team cognition in experienced command-and-control teams. J. Exp. Psychol. Appl. 13(3), 146–157 (2007)CrossRefGoogle Scholar
  3. 3.
    Woolley, A.W., Hackman, R.J., Jerde, T.E., Chabris, C.F., Bennett, S.L., Ko sslyn, S.M.: Using brain-based measures to compose teams: How individual capabilities and team collaboration strategies jointly shape perf ormance. Social Neuroscience 2(2), 96–105 (2007)CrossRefGoogle Scholar
  4. 4.
    Salas, E., Cooke, N.J., Rosen, M.A.: On teams, teamwork, and team performance: discoveries and developments. Hum Factors 50(3), 540–547 (2008)CrossRefGoogle Scholar
  5. 5.
    Bourbousson, J., Sve, C., McGarry, T.: Space-time coordination dynamics in basketball: Part 1. intra- and inter-couplings among player dyads. J. Sports Sci. 28(3), 339–347 (2010)CrossRefGoogle Scholar
  6. 6.
    Bourbousson, J., Sve, C., McGarry, T.: Space-time coordination dynamics in basketball: Part 2. the interaction between the two teams. J. Sports Sci. 28(3), 349–358 (2010)CrossRefGoogle Scholar
  7. 7.
    DeChurch, L.A., Mesmer-Magnus, J.R.: The cognitive underpinnings of effective teamwork: a meta-analysis. J. Appl. Psychol. 95(1), 32–53 (2010)CrossRefGoogle Scholar
  8. 8.
    Dodel, S., Pillai, A., Fink, P., Muth, E., Stripling, R., Schmorrow, D., Cohn, J., Jirsa, V.: Observer-independent dynamical measures of team coordination and performance. Motor Control: Theories, Experiments, and Applications, 72–101 (2010)Google Scholar
  9. 9.
    Gorman, J.C., Amazeen, P.G., Cooke, N.J.: Team coordination dynamics. Nonlinear Dynamics Psychol Life Sci. 14(3), 265–289 (2010)Google Scholar
  10. 10.
    Gorman, J.C., Cooke, N.J.: Changes in team cognition after a retention interval: The benefits of mixing it up. J. Exp. Psychol. Appl. 17(4), 303–319 (2011)CrossRefGoogle Scholar
  11. 11.
    Tognoli, E., Lagarde, J., DeGuzman, G.C., Kelso, J.A.S.: The phi complex as a neuromarker of human social coordination. Proc. Natl. Acad. Sci. U S A 104(19), 8190–8195 (2007)CrossRefGoogle Scholar
  12. 12.
    Lindenberger, U., Li, S.C., Gruber, W., Müller, V.: Brains swinging in concert: cortical phase synchronization while playing guitar. BMC Neurosci. 10, 22 (2009)CrossRefGoogle Scholar
  13. 13.
    Dumas, G., Nadel, J., Soussignan, R., Martinerie, J., Garnero, L.: Inter-brain synchronization during social interaction. PLoS One 5(8), e12166 (2010)Google Scholar
  14. 14.
    Schippers, M.B., Roebroeck, A., Renken, R., Nanetti, L., Keysers, C.: Mapping the information flow from one brain to another during gestural communication. Proceedings of the National Academy of Sciences 107(20), 9388–9393 (2010)CrossRefGoogle Scholar
  15. 15.
    Anders, S., Heinzle, J., Weiskopf, N., Ethofer, T., Haynes, J.D.: Flow of affective information between communicating brains. NeuroImage 54(1), 439–446 (2011)CrossRefGoogle Scholar
  16. 16.
    Astolfi, L., Toppi, J., De Vico Fallani, F., Vecchiato, G., Salinari, S., Mattia, D., Cincotti, F., Babiloni, F.: Neuroelectrical hyperscanning measures simultaneous brain activity in humans. Brain Topography 23, 243–256 (2010), doi:10.1007/s10548-010-0147-9CrossRefGoogle Scholar
  17. 17.
    Dodel, S., Cohn, J., Mersmann, J., Luu, P., Forsythe, C., Jirsa, V.: Brain signatures of team performance. Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 288–297 (2011)Google Scholar
  18. 18.
    Stevens, R.H., Galloway, T.L., Wang, P., Berka, C.: Cognitive neurophysiologic synchronies: What can they contribute to the study of teamwork? Human Factors: The Journal of the Human Factors and Ergonomics Society (2011)Google Scholar
  19. 19.
    Tognoli, E., Kovacs, A., Suutari, B., Afergan, D., Coyne, J., Gibson, G., Stripling, R., Kelso, J.: Behavioral and brain dynamics of team coordination part i: Task design. Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 257–264 (2011)Google Scholar
  20. 20.
    Scholz, J., Schöner, G.: The uncontrolled manifold concept: identifying control variables for a functional task. Experimental Brain Research 126(3), 289–306 (1999)CrossRefGoogle Scholar
  21. 21.
    Bressler, S.L., Tognoli, E.: Operational principles of neurocognitive networks. International Journal of Psychophysiology 60(2), 139–148 (2006)CrossRefGoogle Scholar
  22. 22.
    Dumas, G., Chavez, M., Nadel, J., Martinerie, J.: Anatomical connectivity influences both intra- and inter-brain synchronizations. PLoS One 7(5), e36414 (2012)Google Scholar
  23. 23.
    Price, C.J., Friston, K.J.: Degeneracy and cognitive anatomy. Trends Cogn. Sci. 6(10), 416–421 (2002)CrossRefGoogle Scholar
  24. 24.
    De Jaegher, H., Di Paolo, E., Gallagher, S.: Can social interaction constitute social cognition? Trends Cogn. Sci. 14(10), 441–447 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Silke Dodel
    • 1
  • Emmanuelle Tognoli
    • 1
  • J. A. Scott Kelso
    • 1
    • 2
  1. 1.Center for Complex Systems and Brain SciencesFlorida Atlantic UniversityBoca RatonUSA
  2. 2.Intelligent Systems Research CenterUniversity of UlsterDerryN. Ireland

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