Development of ontology toward common understanding of human sensibilities and emotions

Keiichi Muramatsu, Tatsunori Matsui, Keiichi Watanuki

    Research output: Chapter in Book/Report/Conference proceedingChapter


    With the ongoing development of information and communications technology, it is apparent that computers will be indispensable partners in future human life. In terms of computer information processing, techniques for coordinating human sensitivity and emotional levels are attracting attention and stand in contrast to conventional knowledge information processing. In this chapter, we present an overview of content-oriented research considering knowledge itself and describe an approach to handling knowledge of human sensitivity and emotions using computers. First, we provide an overview of existing content-oriented studies in the field of artificial intelligence (AI). Second, we discuss problems regarding the handling of knowledge of human sensibilities and emotions. Then, we introduce an ontology pertaining to the concept of color emotion as an approach to understanding human sensibilities and emotions. Finally, we describe the applicability of such an ontology to human-computer interactions and for the understanding of human nature through the concept of analysis-by-synthesis.

    Original languageEnglish
    Title of host publicationEmotional Engineering
    Subtitle of host publicationUnderstanding Motivation
    PublisherSpringer International Publishing
    Number of pages17
    ISBN (Electronic)9783319708027
    ISBN (Print)9783319708010
    Publication statusPublished - 2017 Nov 17


    • Color emotion
    • Emotions
    • Knowledge management Human-computer interaction
    • Knowledge sharing
    • Ontology
    • Sensibilities

    ASJC Scopus subject areas

    • Engineering(all)
    • Social Sciences(all)

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  • Cite this

    Muramatsu, K., Matsui, T., & Watanuki, K. (2017). Development of ontology toward common understanding of human sensibilities and emotions. In Emotional Engineering: Understanding Motivation (Vol. 6, pp. 75-91). Springer International Publishing.