Man/Machine Interaction in Adaptive Computer-Aided Control
Shared decision making between man and intelligent machine is becoming an important part of advanced systems. The research described in this paper is directed toward developing human factors criteria for the man/machine interaction. The research effort includes evaluations of task allocation techniques, information feedback, operator training, and decision analysis methods.
The paper presents the results of a series of experimental investigations of adaptive computer-aided control. The results of the investigation suggest that control allocation and machine state feedback are perhaps the major factors in these interactions, and that automatic allocation should be a primary function of the machine component.
KeywordsShared Control Adaptive Computer Control Allocation Expected Utility Model Decision Analysis Method
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