ATTENTION MONITORING IN A VIDEO CONFERENCING SESSION

In some implementations, a system may receive user data from a plurality of user devices corresponding to a plurality of users participating in a video conferencing session. The system may provide, based on the user data and as input to a machine learning model, user attention data associated with attentions of the plurality of users with respect to the video conferencing session. The machine learning model may be trained based on historical user attention data associated with a plurality of historical video conferencing sessions. The system may receive, as output from the machine learning model, an indication that one or more non-attentive users, of the plurality of users, are not attentive to the video conferencing session. The system may perform, based on the indication, one or more actions to gain attention from the one or more non-attentive users.