Mapping cognitive attractors onto the dynamic landscapes of teamwork

Abstract

The objective of this study was to apply ideas from complexity theory to derive new models of teamwork. The measures include EEG-derived measures of Engagement and Workload obtained from submarine piloting and navigation (SPAN) teams and communication streams from Uninhibited Air Vehicle Synthetic Task Environments (UAV-STE). We show that despite large differences in the data streams and modeling, similar changes are seen in the respective order parameters in response to task perturbations and the experience of the team. These changes may provide a pathway for future adaptive training systems as both order parameters could conceivably be modeled and reported in real time. © 2011 Springer-Verlag.