Computer Systems and Computer-Implemented Methods of Use Thereof Configured to Recognize User Activity During User Interaction with Electronic Computing Devices

A system comprising:

• a camera component, wherein the camera component is configured to acquire a visual input, wherein the visual input comprises a real-time representation of at least one eye of at least one user and wherein the visual input comprises at least one video frame, at least one image, or both;
• at least one processor;
• a non-transitory computer memory, storing a computer program that, when executed by the at least one processor, causes the at least one processor to:
• continuously apply at least one eye-gaze movement tracking (EGMT) algorithm to the visual input to form a time series of eye-gaze vectors;
• continuously input the time series of eye-gaze vectors into an Activity Tracking Neural Network (ATNN) to determine an attentiveness level of the at least one user over the predetermined time duration to:
• classify at least one activity of the at least one user over the predetermined time duration;
• and
• output a measure of the at least one user's engagement with the at least one classified activity.