Skip to Main Content
As the sophistication of computer technology increases, the number of systems in which both a human and a computer take controlling roles will increase. Effective communication between the human and computer is essential to prevent redundant or interfering actions. If a method for accurately predicting the human's actions can be determined, the computer can use the predictions to complement the human's actions rather than interfere with them. This correspondence develops and empirically validates a two-stage mathematical model of human performance in a situation with real time, multiple tasks, and process control. The model is a consistent and accurate predictor of human performance, correctly predicting over 80 percent of the subjects' actions over a range of situations. A subsequent study is suggested to assess the value of this model when the computer is implemented as a parallel decisionmaker, selecting its own actions to complement rather than conflict with the human decisionmaker.