Agent based affective tutoring systems: A pilot study

Authors:
Xia Mao;Zheng Li
Affiliations:
School of Electronic and Information Engineering, Beihang University, Beijing, China;School of Electronic and Information Engineering, Beihang University, Beijing, China
Venue:
Computers & Education
Year:
2010

Citing 6
Cited 3

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Abstract

An important trend in the development of Intelligent tutoring systems (ITSs) has been that providing the student with a more personalized and friendly environment for learning. Many researchers now feel strongly that the ITSs would significantly improve performance if they could adapt to the affective state of the learner. This idea has spawned the developing field of affective tutoring systems (ATSs): ATSs are ITSs that are able to adapt to the affective state of students. However, ATSs are not widely employed in the tutoring system market. In this paper, a survey was conducted to investigate the critical factors affecting learner's satisfaction in ATSs based on an ATS developed by us. The results revealed that learner's attitude toward affective computing, agent tutor's expressiveness, emotion recognition accuracy, number of emotions recognized by agent tutor, pedagogical action and easy of the use of the system have significant influence on learner's satisfaction. The results indicate institutions how to further strengthen the ATSs' implementation.