Abstract
Automation system operating performance (ASOP) is a concept of how well an automation unit (AU) is monitored and performed by supervisors. The purpose of this paper was to study the ASOP for dynamic characteristics of human decision-making in automation. First, a quantitative ASOP measuring model was proposed. Secondly, a matrix and orthogonal experiment was conducted to verify the model, specifically on ASOP measuring. The experimental results indicated that the quality-objective function (eta) of human dynamic decision-making characteristics to measure the ASOP is easy and objective, and, according to the eta value, one can obtain the optimal ASOP by the best combination of levels of the control factors. The results of this study indicates that the quality-objective function can be regarded as measuring standard of ASOP and evaluating standard of selecting the adapted supervisors in automation, and some inferences from experimental results can be applied to the design of human-machine interface.
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