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LREC
2008
120views Education» more  LREC 2008»
13 years 6 months ago
Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems
We present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring system, in which student uncertainty was manually annotated in real-time. We detail ...
Katherine Forbes-Riley, Diane J. Litman, Scott Sil...
ITS
2004
Springer
642views Multimedia» more  ITS 2004»
13 years 10 months ago
Advantages of Spoken Language Interaction in Dialogue-Based Intelligent Tutoring Systems
Abstract. The ability to lead collaborative discussions and appropriately scaffold learning has been identified as one of the central advantages of human tutorial interaction [6]. ...
Heather Pon-Barry, Brady Clark, Karl Schultz, Eliz...
NAACL
2003
13 years 6 months ago
Towards Emotion Prediction in Spoken Tutoring Dialogues
Human tutors detect and respond to student emotional states, but current machine tutors do not. Our preliminary machine learning experiments involving transcription, emotion annot...
Diane J. Litman, Katherine Forbes, Scott Silliman
AIED
2009
Springer
13 years 11 months ago
Adapting to Student Uncertainty Improves Tutoring Dialogues
This study shows that affect-adaptive computer tutoring can significantly improve performance on learning efficiency and user satisfaction. We compare two different student uncer...
Katherine Forbes-Riley, Diane J. Litman
AAAI
2004
13 years 6 months ago
SCoT: A Spoken Conversational Tutor
We describe SCoT, a Spoken Conversational Tutor, which has been implemented in order to investigate the advantages of natural language in tutoring, especially spoken language. SCo...
Karl Schultz, Brady Clark, Heather Pon-Barry, Eliz...