A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning

@inproceedings{DMello2010ATF,
  title={A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning},
  author={Sidney K. D'Mello and Blair A. Lehman and Jeremiah Sullins and Rosaire Daigle and Rebekah Combs and Kimberly Vogt and Lydia Perkins and Arthur C. Graesser},
  booktitle={Intelligent Tutoring Systems},
  year={2010}
}
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’ cognitive states, the affect-sensitive tutor is responsive to their affective states as well. This affective tutor automatically detects learners’ boredom, confusion, and frustration by monitoring conversational cues, gross body language, and facial features. The sensed affective states guide the tutor’s responses in a… CONTINUE READING
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