Development of an algorithm to detect saccadic intrusions as an index of mental workload

This study describes how an algorithm was developed from a vision theory, so that the algorithm can quantify an amount of a specific type of eye movements, called saccadic intrusions. The second half of the paper describes the strong positive relationship between mental workload and saccadic intrusions. The results imply that the person´s cognitive demand level can be accurately estimated from the eye movements at a correlation coefficient 0.84.