This paper focuses on the analysis and prediction of student disengagement and uncertainty, using a corpus of dialogues collected with a spoken tutorial dialogue system in the STEM domain of qualitative physics. We first compare and contrast the prosodic characteristics of dialogue turns exhibiting disengagement or not, and those exhibiting uncertainty or not. We then compare the utility of using multiple prosodic features to predict both disengagement and uncertainty.
Index Terms: spoken dialogue systems, educational applications, emotion detection, prosody