Automatic detection of learner's affect from conversational cues
User Modeling and User-Adapted Interaction
What Are You Feeling? Investigating Student Affective States During Expert Human Tutoring Sessions
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems
International Journal of Artificial Intelligence in Education
Log file analysis for disengagement detection in e-Learning environments
User Modeling and User-Adapted Interaction
Gaze tutor: A gaze-reactive intelligent tutoring system
International Journal of Human-Computer Studies
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This paper explores automatically detecting student zoning out while performing a spoken learning task Standard supervised machine learning techniques were used to create classification models, built on prosodic and lexical features Our results suggest these features create models that can outperform a Bag of Words baseline.