An ontology-based affective tutoring system on digital arts

H. Lin, I-Hen Tsai, Rui-Ting Sun
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引用次数: 4

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.
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基于本体的数字艺术情感辅导系统
本文的目的是介绍一个基于本体的数字艺术情感辅导系统的设计与评价。情感识别的主要线索是学习者输入的文本片段。情感的语义推理是通过使用一个名为OMCSNet的本体来完成的。该系统还集成了一个代理,根据推断的情绪提供反馈。系统可用性量表(System Usability Scale, SUS)评估结果表明,该系统达到了良好的可用性,学习者享受与系统的互动。
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