Neurophysiological predictors of team performance

Robin R. Johnson, Chris Berka, David Waldman, Pierre Balthazard, Nicola Pless, Thomas Maak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Objective: To identify benchmark neurophysiological measures that predict performance at a teaming level. Advanced Brain Monitoring has a track record of success in identifying neurophysiological metrics that impact expert behavior. For example, we characterized negative and positive predictors for marksmanship skill; persons with higher HF:LF Norm metrics of Heart rate variability (HRV, an indication of anxiety) during a benchmarking auditory passive vigilance task did not achieve expert marksman performance while those with above average visuospatial processing ability achieved greater levels of expertise. In the current research, we explored the ability of benchmark neurophysiological metrics to predict team performance in two large scale studies. Significance: Identifying neurophysiological metrics of teaming ability and performance as part of a team can provide potential screening mechanisms or developmental data to help build optimal teams and improve team interactions for different types of contexts in which teams may operate.

Original languageEnglish (US)
Title of host publicationFoundations of Augmented Cognition - 7th International Conference, AC 2013, Held as Part of HCI International 2013, Proceedings
Pages153-161
Number of pages9
DOIs
StatePublished - Oct 7 2013
Event7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: Jul 21 2013Jul 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8027 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period7/21/137/26/13

Keywords

  • leadership
  • neurophysiology
  • prediction
  • qEEG

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Johnson, R. R., Berka, C., Waldman, D., Balthazard, P., Pless, N., & Maak, T. (2013). Neurophysiological predictors of team performance. In Foundations of Augmented Cognition - 7th International Conference, AC 2013, Held as Part of HCI International 2013, Proceedings (pp. 153-161). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8027 LNAI). https://doi.org/10.1007/978-3-642-39454-6_16