Some embodiments of a computer-implemented method and system can entail continuously obtaining a visual input comprising a plurality of representations of at least one eye of at least one user to continuously track the plurality of representations over a predetermined time duration. The at least one processor can continually apply at least one eye-gaze movement tracking (EGMT) algorithm to form a time series of eye-gaze vectors. Continually inputting the time series of eye-gaze vectors into an Activity Tracking Neural Network (ATNN) can determine an attentiveness level of the at least one user over the predetermined time duration. The at least one processor can initiate a first action when the attentiveness level is equal to or above a predetermined threshold attentiveness value throughout the predetermined time duration; and initiate a second action when the attentiveness level is below the predetermined threshold attentiveness value throughout the predetermined time duration.