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ACL
2004
13 years 6 months ago
Predicting Student Emotions in Computer-Human Tutoring Dialogues
We examine the utility of speech and lexical features for predicting student emotions in computerhuman spoken tutoring dialogues. We first annotate student turns for negative, neu...
Diane J. Litman, Katherine Forbes-Riley
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
NAACL
2004
13 years 6 months ago
Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
Katherine Forbes-Riley, Diane J. Litman
AIED
2007
Springer
13 years 11 months ago
Emotions and Learning with AutoTutor
The relationship between emotions and learning was investigated by tracking the emotions that college students experienced while learning about computer literacy with AutoTutor. Au...
Arthur C. Graesser, Patrick Chipman, Brandon King,...
AIED
2009
Springer
13 years 11 months ago
Emotion Sensors Go To School
This paper describes the use of sensors in intelligent tutors to detect students' affective states and to embed emotional support. Using four sensors in two classroom experime...
Ivon Arroyo, David G. Cooper, Winslow Burleson, Be...