Application of a Mathematical Model of Human Decisionmaking for Human-Computer Communication

When a human and computer perform similar tasks in parallel, it is important that there be effective communication between the two entities. Because explicit communication may add to the human´s workload, an implicit method of communication is suggested in which the computer references a model of human performance to predict the human´s actions. The computer then determines its own actions so as to complement rather than conflict with the predicted human actions. A two-stage mathematical model of human performance is employed in an experimental situation in which both a human and computer act as decisionmakers. Implementation of the model significantly improves the human´s performance, without degrading the computer´s performance. Research into additional experimental and real-world situations is suggested.