ABSTRACT
A key element of AugCog concerns the selection and measurement of psychophysiologic changes in the human operator that correlate with various dimensions of cognitive state during a task or mission. With reliable estimates of cognitive state shifts, computational augmentation systems can adjust autonomously to optimize and improve socio-technical team performance. The flow of information needed to provide continuous situation awareness can cause an undesirable increase in cognitive workload even under ideal conditions, and particularly when urgency and sequencing of tasks increases. Neuroergonomics encompasses both the understanding of the neural basis of cognition and behaviour development and operation of technology that utilizes this knowledge, Neuroergonomic, human-centered adaptive automated systems adjust the mode and level of automation assistance dynamically in response to changes in operator workload. Modern implementations of this neuroergonomic approach to managing adaptive automation use real-time understanding of operator cognitive state along with changes in the mission environment to provide a moment-to-moment adjustment of information flow and automation assistance.
