A Rule-Based Model for the Human Operator in a Time-Constrained Competing-Task Environment

A rule-based model of the human operator has been developed based on heuristics derived from results of an experiment that investigated supervisory control in a competing-task environment. The model calculated a set of feasible control actions at any time, from which a single action was chosen using rules. The model matched observed results very well. Experimental results are provided, and the model is described.