Researching affective computing techniques for intelligent tutoring systems

Author

Ivanova, Milena

Author_Institution

Tech. Univ. of Sofia, Sofia, Bulgaria

fYear

2013

fDate

25-27 Sept. 2013

Firstpage

596

Lastpage

602

Abstract

Intelligent Tutoring is applied as a supportive tool in decision making, problem solving, knowledge receiving. Adding computer vision for affect recognition leads to the adaptation of tutor behavior not only to the cognitive level of a student but also to his emotional state that could improve quality of learning. In this paper the current research in the area of facial expression and gesture recognition in the context of intelligent tutoring is examined with the aim to facilitate educational society in building of affective intelligent tutoring systems.

Keywords

decision making; emotion recognition; face recognition; intelligent tutoring systems; affect recognition; affective computing techniques; affective intelligent tutoring systems; computer vision; decision making; educational society; emotional state; facial expression recognition; gesture recognition; knowledge receiving; learning quality; problem solving; tutor behavior adaptation; Algorithm design and analysis; Educational institutions; Emotion recognition; Face; Face recognition; Feature extraction; Hidden Markov models; affective computing; facial expression recognition; gesture recognition; intelligent tutoring system;

fLanguage

English

Publisher

ieee

Conference_Titel

Interactive Collaborative Learning (ICL), 2013 International Conference on

Conference_Location

Kazan

Type

conf

DOI

10.1109/ICL.2013.6644661

Filename

6644661