Tracing Pilots' Situation Assessment by Neuroadaptive Cognitive Modeling.

This study presents the integration of a passive brain-computer interface (pBCI) and cognitive modeling as a method to trace pilots' perception and processing of auditory alerts and messages during operations. Missing alerts on the flight deck can result in out-of-the-loop problems that can lead to accidents. By tracing pilots' perception and responses to alerts, cognitive assistance can be provided based on individual needs to ensure they maintain adequate situation awareness.

A Neuroadaptive Cognitive Model for Dealing With Uncertainty in Tracing Pilots' Cognitive State.

A model-based approach for cognitive assistance is proposed to keep track of pilots' changing demands in dynamic situations. Based on model-tracing with flight deck interactions and EEG recordings, the model is able to represent individual pilots' behavior in response to flight deck alerts. As a first application of the concept, an ACT-R cognitive model is created using data from an empirical flight simulator study on neurophysiological signals of missed acoustic alerts.