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Formalization and Visualization of Kansei Information Based on Fuzzy Set Approach

  • Fangyan Dong
  • Kaoru Hirota
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 326)

Abstract

Kansei or affective-computing related information is easy to express in terms of fuzzy sets. Three examples of Kansei information, e.g., emotion, atmosphere, and Kansei texture, are formalized by using fuzzy set concept on [-1,1]3 space. They are also visualized by using shape-brightness-size, shape-color-size, and contour-shape-gradation models, respectively. Their applications to agent to agent communication, multiagent communication, and online shopping are also introduced.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Tokyo Institute of Technology4259 NagatsutaMidori-KuJapan

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