Affect-driven Ordinal Engagement Measurement from Video. (arXiv:2106.10882v2 [cs.CV] UPDATED)

In education and intervention programs, user engagement has been identified
as a major factor in successful program completion. Automatic measurement of
user engagement provides helpful information for instructors to meet program
objectives and individualize program delivery. In this paper, we present a
novel approach for video-based engagement measurement in virtual learning
programs. We propose to use affect states, continuous values of valence and
arousal extracted from consecutive video frames, along with a new latent
affective feature vector and behavioral features …

arxiv engagement measurement ordinal video