抄録
In this paper, we apply the recent results that estimated an operator’s mental state to human interfaces in plant operations. We introduce a function that judges comprehensively the situation from both the state of the plant and mental state of the human operator. Such a human interface system can inform the operator of his/her mental state, give him/her alerts or timely guidance, and activate automatic sequences in place of the operator if required. An intelligent human interface will adjust its appearance and contents according to the situation. We propose a framework for an intelligent human-machine interface that provides adaptive aiding functions. We develop a simulation environment to evaluate various candidates of adaptive aiding methods. The total simulation system consists of a plant simulator, a human-computer interface model, and a human operator’s model that incorporates human mental state and attention. This human operator model can simulate the perception, cognition and execution abilities of an operator under various situations. The analysis at the level of cognition and judgment through simulation runs will help us evaluate the effects of all kinds of adaptive aiding.
