Detecting Mental Fatigue in Intelligent Tutoring Systems.

Mental fatigue happens when a cognitive activity is maintained without the availability of adequate intellectual capabilities. This leads to change in mood, motivation, and temporary deterioration of various cognitive functions involved in goal-directed behavior. In this paper, we present our framework to successfully generate and measure mental fatigue through completion of cognitive tasks in a virtual simulated environment. Participants showed significant decline in pupil diameter and theta/alpha score during the various cognitive tasks. We trained an RBF SVM classifier from Electroencephalogram (EEG) data classifying mental fatigue with 95% accuracy on the test set. We believe that this Intelligent Tutoring System can aid in providing intelligent assistance on one’s mental resources available for learning and productivity.