Abstract: In order to effectively and accurately assess controller workload, data indicators of 13 sectors are firstly selected through questionnaire. Sector complexity data and controllers’ subjective self -evaluation value for their own workload are collected through radar control simulation experiments. Then, dimension reduction of sector data indices has been conducted through data application factor analysis and principal component analysis, which is simplified into a representative new principal component and used as an independent variable. After that, the regression equation is used to establish the controller workload prediction model, and the predicted value of the controller workload is obtained from the model. Finally, comparison between predicted value obtained from objective data analysis with the subjective self -evaluation value of controller workload verifies the model accuracy.

Key words: controller workload, complexity index, factor analysis, principal component analysis, dimension reduction, regression model