DocumentCode
2285125
Title
An ontology-based affective tutoring system on digital arts
Author
Lin, Hao-Chiang Koong ; Tsai, I-Hen ; Sun, Rui-Ting
Author_Institution
Nat. Univ. of Tainan, Tainan, Taiwan
fYear
2011
fDate
11-15 April 2011
Firstpage
1
Lastpage
5
Abstract
The aim of this paper is to introduce the design and evaluation of an ontology-based affective tutoring system on digital arts. The major clues for emotion recognition are the text pieces inputted by the learners. The semantic inference of the emotions is done by use of an ontology called OMCSNet. The system also incorporates an agent that provides feedback based on the inferred emotions. The SUS (System Usability Scale) evaluation results show that this system achieves positive usability so that the learners enjoy the interaction with the system.
Keywords
art; computer aided instruction; emotion recognition; inference mechanisms; ontologies (artificial intelligence); OMCSNet; digital arts; emotion recognition; ontology based affective tutoring system; semantic inference; system usability scale; text pieces; Accuracy; Computers; Digital art; Emotion recognition; Semantics; Usability; affective computing; affective tutoring system; emotions; ontology; usability evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Affective Computational Intelligence (WACI), 2011 IEEE Workshop on
Conference_Location
Paris
Print_ISBN
978-1-61284-083-3
Type
conf
DOI
10.1109/WACI.2011.5952985
Filename
5952985
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