Title :
Toward an Affect-Sensitive AutoTutor
Author :
Mello, Sidney D. ; Picard, Rosalind W. ; Graesser, Arthur
Author_Institution :
Univ. of Memphis, Memphis
Abstract :
Here, we consider the possibility of enabling AutoTutor, an intelligent tutoring system, to process learners´ affective and cognitive states. AutoTutor is a fully automated computer tutor that simulates human tutors and converses with students in natural language.
Keywords :
intelligent tutoring systems; natural language interfaces; affect-sensitive AutoTutor; cognitive states; intelligent tutoring system; pedagogical strategies; Autonomic nervous system; Cognition; Computational modeling; Humans; Intelligent systems; Laboratories; Mathematics; Physics computing; Resumes; Speech synthesis; AutoTutor; affect detection; affect-sensitive ITS; body posture; dialogue features; emotion detection; facial features;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2007.79
