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
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;
Conference_Titel :
Affective Computational Intelligence (WACI), 2011 IEEE Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-083-3
DOI :
10.1109/WACI.2011.5952985
