@inproceedings{753a3e3f2609468f8e54cd6a534c78f2,
title = "Neurophysiological predictors of team performance",
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.",
keywords = "leadership, neurophysiology, prediction, qEEG",
author = "Johnson, {Robin R.} and Chris Berka and David Waldman and Pierre Balthazard and Nicola Pless and Thomas Maak",
year = "2013",
doi = "10.1007/978-3-642-39454-6_16",
language = "English (US)",
isbn = "9783642394539",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "153--161",
booktitle = "Foundations of Augmented Cognition - 7th International Conference, AC 2013, Held as Part of HCI International 2013, Proceedings",
note = "7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013 ; Conference date: 21-07-2013 Through 26-07-2013",
}