Abstract
Research on civil aircraft inspection and maintenance has shown the potential for employing human factor interventions in improving performance. A series of training experiments was developed to understand the effects of different training interventions in the visual inspection domain. This paper reports on preliminary results obtained in applying a combined active and progressive part training scheme in improving the decision making performance for a visual inspection task. The task was a computer simulated airframe visual inspection task.
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