An ontology-based affective tutoring system on digital arts

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.