Skip to main content
SpringerLink
Log in
Book cover

Fifty Years of Fuzzy Logic and its Applications pp 169–181Cite as

Formalization and Visualization of Kansei Information Based on Fuzzy Set Approach

  • Chapter
  • First Online:

Part of the book series: Studies in Fuzziness and Soft Computing ((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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Bethel C.L.: Survery of psychophysiology measurements applied to human-robot interaction. In: The 16th IEEE International Symposium on Robot and Human interactive Communication, pp. 732–737 (2007)

    Google Scholar 

  2. Fontaine, J.R., Scherer, K.R., Roesch, E.B., Ellsworth, P.C.: The World of Emotions is not Two-Dimensional. Psychol. Sci. 18(12), 1050–1057 (2007)

    Article  Google Scholar 

  3. Kazemifard M., Ghasem-Aghaee N., Koenig B.L., Ören T.I.: An Emotion Understanding Framework for Intelligent Agents Based on Episodic and Semantic Memories. Autonomous Agents and Multi-Agent Systems, Springer US, (2013). doi: 10.1007/s10458-012-9214-9

    Google Scholar 

  4. Cañamero, L.: Emotion understanding from the perspective of autonomous robots research. Neural Netw. Emot. Brain 18(4), 445–455 (2005)

    Article  Google Scholar 

  5. Garcia, A., Ohnishi, K., Shibata, A., Dong, F., Hirota, K.: Visualization Method of Emotion Information for Long Distance Interaction. In: 7th IEEE International Conference Humanoid, Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM2014). Palawan, Philippine (2014)

    Google Scholar 

  6. Yamazaki, Y., Hatakeyama, Y., Dong, F., Nomoto, K., Hirota, K.: Fuzzy Inference based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space. J. Adv. Comput. Intell. Intell. Inf. 12(3), 304–313 (2008)

    Google Scholar 

  7. Hirota K.: Casual communication between robots and humans based on fuzzy atmosfield. In: 9th International Conference on Information and Management Sciences (IMS2010) (Plenary Talk), (Urumuchi, China) (2010/8)

    Google Scholar 

  8. Liu Z.T., Wu M., Li D.Y., Chen L.F., Dong F.Y., Yamazaki Y., Hirota K.: Concept of fuzzy atmosfield for representing communication atmosphere and its application to humans-robots interaction. J. Adv. Comput. Intell. Intel. Inf. 17(1), 3/17 (2013/1)

    Google Scholar 

  9. Sakaniwa H., Seki M., Dong F., Hirota K.: KANSEI TEXTURE for remote object image and its visualization method (in Japanese language). Trans. Japan Soc. Kansei Eng. 13(1), 281/288 (2014)

    Google Scholar 

  10. Sakaniwa H., Dong F., Hirota K.: Fuzzy set representation of Kansei texture for online shopping (best paper awarded). In: The Joint International Conference of Information Technology and Control Applications 2014 and International Symposium on Computational Intelligence and Industrial Applications 2014 (ITCA&ISCIIA2014), (Changsha, China), pp. 1/7 (2014/9/15–20)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tokyo Institute of Technology, 4259 Nagatsuta, Midori-Ku, Yokohama, 226-8502, Japan

    Fangyan Dong & Kaoru Hirota

Authors
  1. Fangyan Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kaoru Hirota
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fangyan Dong .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University, San Marcos, Texas, USA

    Dan E. Tamir

  2. School of Computing and Information Sciences, Florida International University, Miami, Florida, USA

    Naphtali D. Rishe

  3. School of Computing and Information Sciences, The University of South Florida, Tampa, Florida, USA, and Florida International University, Miami, Florida, USA

    Abraham Kandel

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Dong, F., Hirota, K. (2015). Formalization and Visualization of Kansei Information Based on Fuzzy Set Approach. In: Tamir, D., Rishe, N., Kandel, A. (eds) Fifty Years of Fuzzy Logic and its Applications. Studies in Fuzziness and Soft Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-19683-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19683-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19682-4

  • Online ISBN: 978-3-319-19683-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation