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Predicting Facial Indicators of Confusion with Hidden Markov Models
[chapter]
2011
Lecture Notes in Computer Science
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which has been positively associated with effective learning. Although identifying episodes of confusion presents significant challenges, recent investigations have identified correlations between confusion and specific facial movements. This paper builds on those findings to create a predictive model of learner confusion
doi:10.1007/978-3-642-24600-5_13
fatcat:gqto6e5zrjc2jnvgaxxlxhbiyy