Estimating (human) cognitive states in a human-machine system: a fuzzy modeling approach

A fuzzy model for evaluating and estimating the human operator states in a human machine system is proposed. The major parts of the model consist of subjective evaluation of the human 'perception' of task, the translation of the subjective data to fuzzy membership functions, and the application of an intuitive heuristic to determine the desired operator states. The model efficacy is demonstrated by experimenting with the human operator cognitive states in a pursuit tracking task.