An Empirical Validation of a Model of Human Decision Making for Human-Computer Communication
As the sophistication of computer technology increases, the number of systems in which both a human and 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 found, the computer could avoid redundant actions by working around the human. This paper empirically validates a model of human behavior in a multiple task, process control situation. Results indicate that the model appears to be an accurate predictor of human performance, consistently predicting over 70% of the subjects' actions over a range of situations. The possible value of this model will be investigated in a study in which the computer is implemented as a parallel decision maker, using the model predictions in place of overt communication.