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Subjectivity-Kansei Computing

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Cybernics

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Abstract

The chapter first discusses subjective Kansei information, with features such as subjectivity, ambiguity, vagueness and situation dependence, with respect to the interaction between a human and a computer agent. Next, soft computing techniques including fuzzy theory, neural network models, and evolutionary computation are introduced to deal with subjective Kansei information. Finally, this chapter presents some study examples of Subjectivity-Kansei computing using soft computing techniques.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan

    Takehisa Onisawa

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  1. Takehisa Onisawa
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Correspondence to Takehisa Onisawa .

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Editors and Affiliations

  1. Center for Cybernics Research/Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan

    Yoshiyuki Sankai

  2. Center for Cybernics Research/Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan

    Kenji Suzuki

  3. Center for Cybernics Research/Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan

    Yasuhisa Hasegawa

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© 2014 Springer Japan

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Onisawa, T. (2014). Subjectivity-Kansei Computing. In: Sankai, Y., Suzuki, K., Hasegawa, Y. (eds) Cybernics. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54159-2_11

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  • DOI: https://doi.org/10.1007/978-4-431-54159-2_11

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-54158-5

  • Online ISBN: 978-4-431-54159-2

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