Advertisement

On the Road to Autonomy: Evaluating and Optimizing Hybrid Team Dynamics

  • Chris BerkaEmail author
  • Maja Stikic
Chapter

Abstract

This chapter explores the potential of neuroscience methods to supplement traditional psychometric approaches by unobtrusively measuring team dynamics and quantifying a team’s cognitive and emotional state in real-time. The novel teaming platform is reviewed and a number of studies that have been conducted with this emerging technology are presented (e.g., monitoring team neurodynamics, leadership emergence, neural responses to narrative storytelling, tutoring process, or surgical skills training). Lastly, the implications of using this new technology in team studies and possible future work directions are reviewed.

References

  1. Astolfi L, Toppi J, Cincotty F, Mattia D, Salinari S, Fallani FDV, Wilke C, Yuan H, He B (2011) Methods for the EEG hyperscanning. Simultaneous recordings from multiple subjects during social interaction. In: Proceedings of the 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 8th International Conference on Bioelectromagnetism, pp. 5-8Google Scholar
  2. Behneman A et al. (2012) Neurotechnology to accelerate learning: during marksmanship training. IEEE Pulse 3(1):60-63CrossRefGoogle Scholar
  3. Berka C, Levendowski DJ, Cvetinovic MM, Petrovic MM, Davis G, Lumicao MN, Zivkovic VT, Popovic MV, Olmstead R (2004) Real-time analysis of EEG indexes of alertness, cognition, and memory acquired with a wireless EEG headset. International Journal of Human-Computer Interaction 17:151-170CrossRefGoogle Scholar
  4. Berka C et al (2007) EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviation, Space, and Environmental Medicine 78:B231-B244Google Scholar
  5. Berntson GG, Bigger JT, Eckberg DL, Grossman P, Kaufmann PG, Malik M et al (1997) Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology 34(6):623–648CrossRefGoogle Scholar
  6. Carson JB, Tesluk PE, Marrone JA (2007) Shared leadership in teams: an investigation of antecedent conditions and performance. Academy of Management 50:1217-1234CrossRefGoogle Scholar
  7. Cheng C, Lee PL, Yang CY, Lin CP, Hung D, Decety J (2008) Gender differences in the mu rhythm of the human mirror-neuron system. PLoS ONE 3(5):e2113CrossRefGoogle Scholar
  8. Cheng Y, Chen C, Decety J (2014) An EEG/ERP investigation of the development of empathy in early and middle childhood. Developmental Cognitive Neuroscience 10:160-169CrossRefGoogle Scholar
  9. Corradini A, Antonietti A (2013) Mirror neurons and their function in cognitively understood empathy. Consciousness and cognition 22(3):1152-1161CrossRefGoogle Scholar
  10. Correa KA, Stone BT, Stikic M, Johnson RR, Berka C (2015) Characterizing donation behavior from psychophysiological indices of narrative experience. Frontiers in Neuroscience 9:301.CrossRefGoogle Scholar
  11. Funke GJ, Knott BA, Salas E, Pavlas D, Strang AJ (2012) Conceptualization and measurement of team workload: a critical need. Human Factors 54:36-51CrossRefGoogle Scholar
  12. Guru KA, Esfahani ET, Raza SJ, Bhat R, Wang K, Hammond Y, Wilding G, Peabody JO, Chowriappa AJ (2014) Cognitive skill assessment during robot-assisted surgery: Separating the wheat from the chaff. BJU International 115(1):166-174CrossRefGoogle Scholar
  13. Hannah ST, Balthazard PA, Waldman DA, Jennings PL, Thatcher RW (2013) The psychological and neurological bases of leader self-complexity and effects on adaptive decision-making. Journal of Applied Psychology 98:393-411CrossRefGoogle Scholar
  14. Johnson RR, Popovic DP, Olmstead RE, Stikic M, Levendowski DJ, Berka C. (2011) Drowsiness/alertness algorithm development and validation using synchronized EEG and cognitive performance to individualize a generalized model. Biological Psychology 87(2):241-250CrossRefGoogle Scholar
  15. Johnson RR, Berka C, Waldman D, Balthazard P, Pless N, Maak T (2013) Neurophysiological predictors of team performance. In: Proceedings of the 7th International Conference of Augmented Cognition. Foundations of Augmented Cognition, Lecture Notes in Computer Science, 8027, pp 153-161Google Scholar
  16. Mathieu J, Maynard MT, Rapp T, Gilson L (2008) Team effectiveness 1997-2007: A review of recent advancements and a glimpse into the future. Journal of Management 34:410-476CrossRefGoogle Scholar
  17. McAssey MP, Helm J, Fushing H, Sbarra DA, Ferrer E (2013) Methodological advances for detecting physiological synchrony during dyadic interactions. Methodology European Journal of Research Methods for the Behavioral and Social Sciences 9(2):41-53CrossRefGoogle Scholar
  18. Pless N, Maak T (2011) Levi Strauss & Co: Addressing child labour in Bangladesh. Readings and Cases in International Human Resource Management and Organizational Behavior 446-459.Google Scholar
  19. Rich BL, Lepine JA, Crawford ER (2010) Job engagement: antecedents and effects of job performance. Academy of Management, 53:617-635CrossRefGoogle Scholar
  20. Schaueneman AL, Pickleman J, Hesslein R, Freeark RJ (1984) Neuropsychologic predictors of operative skill among general surgery residents. Surgery 96(2):288-295Google Scholar
  21. Stevens RH, Galloway T, Berka C, Sprang M (2009a) Can neurophysiologic synchronies provide a platform for adapting team performance? Foundations in Augmented Cognition, 5638: 658-667Google Scholar
  22. Stevens RH, Galloway T, Berka C, Sprang M (2009b) Neurophysiologic collaboration patterns during team problem solving. In: Proceedings of the International Symposium of Human Factors and Ergonomics Society Annual Meeting 53(12): 804-804Google Scholar
  23. Stevens RH, Galloway TL, Wang P, Berka C (2012) Cognitive neurophysiologic synchronies: What can they contribute to the study of teamwork? Human Factors 54:489-502CrossRefGoogle Scholar
  24. Stevens RH, Galloway TL, Wang P, Berka C, Tan V, Wohlgemuth T, Lamb J, Buckels R. (2013) Modeling the neurodynamic complexity of submarine navigation teams. Computational and Mathematical Organization Theory 19(3):346-369CrossRefGoogle Scholar
  25. Stikic M, Berka C, Waldman D, Balthazard P, Pless N, Maak, T. (2013) Neurophysiological estimation of team psychological metrics. In: Proceedings of the 7th International Conference of Augmented Cognition, Foundations of Augmented Cognition, Lecture Notes in Computer Science 8027: 209-218Google Scholar
  26. Stikic M, Johnson RR, Tan V, Berka C (2014) EEG-based classification of positive and negative affective states. Brain-Computer Interfaces 1(2):99-112CrossRefGoogle Scholar
  27. Stone B, Skinner A, Stikic M, Johnson R. (2014) Assessing neural synchrony in tutoring dyads. In: Human-Computer Interaction International, Lecture Notes in Computer Science, 8534: 167-178Google Scholar
  28. Stone B, Correa K, Thor N, Johnson R (2015) EEG coherence within tutoring dyads: A novel approach for pedagogical efficiency. In: Foundations of Augmented Cognition, Lecture Notes in Computer Science 9183:697-706Google Scholar
  29. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996). Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation 93(5):1043–1065CrossRefGoogle Scholar
  30. Waldman DA, Balthazard PA, Peterson SJ (2011a) Leadership and neuroscience: Can we revolutionize the way that inspirational leaders are identified and developed? The Academy of Management Perspectives 25(1):60-74CrossRefGoogle Scholar
  31. Waldman DA, Balthazard PA, Peterson SJ (2011b) Social cognitive neuroscience and leadership. The Leadership Quarterly 22:1092–1106CrossRefGoogle Scholar
  32. Waldman DA, Wang D, Stikic M, Berka C, Balthazard P, Richardson T, Pless N, Maak T (2013) Emergent Leadership and Team Engagement: An Application of Neuroscience Technology and Methods. In: Academy of Management Annual Meeting Proceedings, 73:1-6.Google Scholar
  33. Westbrook et al (2004) Quantification of alertness, memory and neurophysiological changes in sleep apnea patients following treatment with nCPAP. Sleep 27:A22Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Advanced Brain Monitoring Inc.CarlsbadUSA

Personalised recommendations