Improvement of the Human Operator's Tracking Performance by Means of Optimum Filtering and Prediction

Abstract

The theory of optimum filtering and prediction is applied to man-machine tracking control systems to improve performance in tracking waveforms which have a somewhat random appearance. The predicted values of the input for a set of prediction times are displayed in perspective for interpretation by the human operator. This display is evaluated in an experimental tracking task.