Part A: Refresher Training The investigators completed analysis and internal reporting for both complex-system repair at UC Davis and manual-operated robotics at MIT. They developed and benchmarked quantitative methods for subject performance evaluation. These include assessing subtask timing as subjects work through the repair task, procedure flow, and a detailed taxonomy of error types. Major effort has been made to make these evaluations objective, so that different researchers can analyze the same subject video and produce virtually the same results. In addition, investigators continued the development of an instrumentation system for subjects' hands, consisting of three-axis accelerometers to gather hand-motion data as they repair the surrogate system. Lastly, investigators developed a new and detailed taxonomy of procedural deviations, which allowed them to quantify the type and sequence of errors made by the subjects.
Part B: Just-In-Time Training The investigators reviewed and considered candidate techniques for Just-In-Time Training resulted in novel concept of self-customization of procedures by subjects faced with an unfamiliar, complex task. They also developed software to expand/contract procedures on command, by sub-task, to three levels of increasing detail and multimedia support. Investigators also completed experiment design for both system repair and robotics studies. Subjects were recruited and completed training and critical-task evaluation for both control and treatment groups using the Space Station Remote Manipulator System (SSRMS) simulator in the Man Vehicle Lab at MIT. Through analysis of surrogate critical repair task, they extracted core skills required for pre-training. Lastly, investigators designed and fabricated a part-task training device for skills-training in complex-systems repair in the Human/Robotics/Vehicle Integration and Performance Lab at UC Davis.
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