O’Hare’s overall goal is to provide a Framework Model that can serve as a foundation for “future research into ADM and a basis for further prescriptive efforts” (O’Hare, 1992, p. 176). To guide him through this O’Hare relied heavily on the research of Jensen and Benel who found that most fatal crashes are caused by decisions rather than perceptual or action errors (O’Hare, 1992, p. 175). Trained pilots have great ability to react to sensations they perceive, but have trouble making decisions in a dynamic environment where the answer may not be obvious. This can be further described using the three basic models of decision-making: normative, prescriptive, and descriptive (...
... middle of paper ...
...n a decision was required the Mimic system used its semi qualitative, nonnumeric method of reasoning to suggest actions to the pilot (O’Hare, 1992, p. 186). This is comparable to the AI decisions made by autopilots in today’s aircraft.
Human performance, especially in an aircraft, is a complex world. Though there are a lot of narrow range models available to explain the cognitive processes of a pilot, there is a lack of models that encompass the entire framework of decision-making and problem solving. There are multiple models that look at a pilots ability to recognize a problem and troubleshoot it, but there is not one that conceptualizes the entire problem solving practice. O’Hare’s framework model provides us understanding on how pilots make decisions and should then provide a more firm base for the development of future prescriptive models of ADM.
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