Abstract
Differences between novices and experts in many piloting skills may be due to perceptual learning. Sufficient exposure to relevant stimulus variation produces more efficient information extraction, processing of higher-order patterns, and automaticity. Isolating and condensing relevant perceptual experience in part-task environments might accelerate training. Here we report initial studies of two prototype perceptual learning modules (PLMs) for flight training. Subjects were either experienced (500-2500 hour) civil aviators or non-pilots. In the Visual Navigation PLM, subjects received brief instruction on aeronautical chart symbology and then viewed 20-second segments of terrain (videotaped from aircraft). Each trial required a speeded, forced choice of the aircraft's location from three possible grid locations on the aeronautical chart. A separate control group received only 20 pre- and 20 post-test trials. In the Instrument Relationships PLM, subjects viewed displays of primary flight instruments and performed a speeded response classifying the flight attitude depicted. In both PLMs, subjects' speed and accuracy were measured over 9 blocks of trials. PLMs produced dramatic improvements in speed and accuracy for both non-pilots and pilots. Pilots initially outperformed non-pilots. Non-pilots after 1-2 hours of PLM training were as accurate and faster than pilots before training in both PLMs. The results suggest that PLMs have value for primary and recurrent training, both in aviation and other domains. Appropriately structured PLMs could condense perceptual learning processes that normally occur with extended experience. By fostering greater automaticity of pattern processing, PLMs might allow component skills to be more easily integrated in flight or other complex tasks.
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More From: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
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