REDUCING HUMAN/PILOT ERROR IN AVIATION USING AUGMENTED COGNITION AND AUTOMATION SYSTEMS IN AIRCRAFT COCKPIT Open Access
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The majority of aviation accidents are caused by human error. Augmentedcognition and automation systems enhance pilot performance by evaluatingsystem limitations and flight precision and performance. This study examines thehuman-machine interface in cockpit design using the tenets of augmentedcognition and automation systems theory in terms of task allocation, attentionalresources, and situational awareness. The study compares how these principlesapply to and interact with each other and with a human/pilot in a closed-loopsystem. A method for integrating augmented cognition systems into airplaneflight management systems is presented. Systems enhancement is demonstratedby experiments in which test pilots flew two simulated flights, once without andonce with an augmented cognition system. Pilot and airplane performance, pilot’ssituational awareness, workload management, and pilot’s use of cockpit checklistswere measured, as well as flight precision along four axes: (1) altitude, (2) course,(3) radial/bearing, and heading, and (4) airspeed.