A Cognitive Load Assessment Method Considering Individual Differences in Eye Movement Data

Abstract

In the process of the pilot executing the flight task, the high cognitive load will cause a decrease in the pilot's situation awareness. Seriously, it may cause an aviation accident. In the paper, based on k-means and SVM (support vector machines) algorithms, a cognitive load assessment method based on eye movement data that considers individual differences has been proposed. Compared to traditional SVM-based methods, this method can cluster data based on individual differences, and then classify them by SVM. Finally, the experimental results show that the method proposed in the paper has a higher classification accuracy.