Cognitive Processes during Instrument Landing

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Abstract
Applications of artificial intelligence (AI) in the cockpit require a deeper understanding of the cognitive processes of the pilot. This paper describes ongoing research concerned with developing cognitive models of pilot behavior that can support the development of expert systems and machine reasoning within the cockpit. An experiment is reported where the behavior of pilots within a flight simulator is observed. Verbal instructions given by the controlling pilot in a “division of labor” task are used to identify salient features of pilot cognitive models of the task. The results of this experiment are interpreted in terms of their implications for the development of future expert systems within the cockpit. Continued research on the cognitive models used by pilots should permit the development of a knowledge base that will assist display design, training programs, and research on mental workload within the cockpit.

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