Research on Intelligent Tutoring System Based on Affective Model

Author

Chen Qi-rong

Author_Institution

Dept. of Math. & Comput. Sci., Shangrao Normal Univ., Shangrao, China

Volume

1

fYear

2010

fDate

24-25 April 2010

Firstpage

7

Lastpage

9

Abstract

The traditional tutoring system has paid attention to learner´s cognitive element and neglected learner´s emotion. To solve the lack of the emotional interaction in e-learning, the paper proposes a model of intelligent tutoring system based on affective computing. In the model, four kinds of basic emotion are described, mood and emotion are defined and the mapping between emotion and learning psychology is established. The teaching agent is designed and the system is realized by using the facial expression recognition method.

Keywords

face recognition; intelligent tutoring systems; software agents; affective model; emotional interaction; facial expression recognition method; intelligent tutoring system; learner cognitive element; learning psychology; neglected learner emotion; teaching agent; Cognition; Databases; Education; Face recognition; Hidden Markov models; Information technology; Intelligent systems; Mathematical model; Multimedia systems; Psychology;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Information Technology (MMIT), 2010 Second International Conference on

Conference_Location

Kaifeng

Print_ISBN

978-0-7695-4008-5

Electronic_ISBN

978-1-4244-6602-3

Type

conf

DOI

10.1109/MMIT.2010.127

Filename

5474414