Cognitive Modeling of Airline Crew Automation Errors

Cockpit automation has changed the roles, responsibilities, and activities of pilots, leading to new types of errors on the flight deck. This research is focused on understanding those errors through the development of a computational cognitive model that describes how pilots interact with automated systems. The cognitive model under development is based on a cognitive task analysis supplemented with eye tracking data collected from commercial pilots flying a low-fidelity simulator.