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UMUAI
2008
192views more  UMUAI 2008»
13 years 4 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...
AIED
2007
Springer
13 years 11 months ago
Mind and Body: Dialogue and Posture for Affect Detection in Learning Environments
We investigated the potential of automatic detection of a learner’s affective states from posture patterns and dialogue features obtained from an interaction with AutoTutor, an i...
Sidney K. D'Mello, Arthur C. Graesser
ITS
2010
Springer
176views Multimedia» more  ITS 2010»
13 years 6 months ago
A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...
HCI
2009
13 years 2 months ago
Responding to Learners' Cognitive-Affective States with Supportive and Shakeup Dialogues
This paper describes two affect-sensitive variants of an existing intelligent tutoring system called AutoTutor. The new versions of AutoTutor detect learners' boredom, confusi...
Sidney K. D'Mello, Scotty D. Craig, Karl Fike, Art...
ICMI
2007
Springer
161views Biometrics» more  ICMI 2007»
13 years 11 months ago
Detecting communication errors from visual cues during the system's conversational turn
Automatic detection of communication errors in conversational systems has been explored extensively in the speech community. However, most previous studies have used only acoustic...
Sy Bor Wang, David Demirdjian, Trevor Darrell