Impact of assistive control on operator behavior under high operational load

Abstract

This work describes the impact of artificial assistant on the operator’s performance which is applied to correct the operator’s actions in case of unsafe or ineffective behavior. In order for assistive control to be effective a method to evaluate and predict operator performance should be applied. This paper presents a model of operator activity based on histograms of the distribution of reaction times to particular stimuli. The model is then applied to the task of monitoring operator activity in a controlled environment, designed to emulate certain actions performed by an aircraft pilot. For each subject, an individual behavioral portrait is made. Then, performance changes under high operational load conditions and impact of assistive control are evaluated.