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Multiagent Smart Communication Based on CI Technology

  • Kaoru HirotaEmail author
  • Fangyan Dong
  • Jesus A. Garcia Sanchez
Chapter
  • 4 Downloads
Part of the Studies in Computational Intelligence book series (SCI, volume 899)

Abstract

The presenters’ group has been studying on humans-robots interaction based on Computational Intelligence in the frame work of multiagent smart society, where a concept of Fuzzy Atmosfield (FA) is proposed to express the atmosphere in humans-robots communication. The FA is characterized by a 3D fuzzy cubic space with “friendly-hostile”, “lively-calm”, and “casual-formal” based on a cognitive science experiment and PCA. To understand easily such movement of the atmosphere, a graphical representation method is also proposed. To illustrate the FA and its visualization method, a demonstration scenario “enjoying home party by five eye robots and four humans” is introduced/demonstrated. Then, a visualization method of users’ emotion information is proposed for long distance interaction such as telecommuting and distance learning, where 3D emotion vectors in Affinity Pleasure-Arousal space are illustrated by using shape-brightness-size (SBS) figure. It gives users easily understandable emotional profile information, and provides administrator strategic suggestion to improve the interaction between the users and the system. In the matching experiment between 7 basic emotions and 7 SBS figures for 8 subjects, 83.93% matching is achieved, and the administrator finds contents improvement hint in the questionnaire of emotions for 5 reading-text-tasks by 8 subjects. It is planning to be implemented in a language learning application to provide a more comfortable learning experience by contents selection based on user’s emotion.

References

  1. 1.
    Liu, Z.T., Wu, M., Li, D., 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. Intell. Inf. 17(1), 3–17 (2013)CrossRefGoogle Scholar
  2. 2.
    Dong, F.Y., Hirota, K.: Concept of fuzzy atmosfield and its visualization. In: Seising, R., Trillas, E., Moraga, C., Termini, S. (eds.) On Fuzziness. A Homage to Lotfi A. Zadeh Vol. 1. Studies in Fuzziness and Soft Computing, vol. 216, pp. 257–263. Springer, Heidelberg (2013)Google Scholar
  3. 3.
    Garcia-Sanchez, J.A., Ohnishi, K., Shibata, A., Dong, F.Y., Hirota, K.: Visualization method of emotion information for long distance interaction. In: 7th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (IEEE-HNICEM 2014) joint with 6th International Conference on Computational Intelligence and Intelligent Informatics (ISCIII 2014), Palawan, Philippine, DSP-09, November 2014Google Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Kaoru Hirota
    • 1
    • 2
    Email author
  • Fangyan Dong
    • 3
  • Jesus A. Garcia Sanchez
    • 4
  1. 1.School of AutomationBeijing Institute of TechnologyBeijingChina
  2. 2.Tokyo Institute of TechnologyTokyoJapan
  3. 3.Ningbo Institute of Intelligent Manufacturing IndustryYuyaoChina
  4. 4.Customer Solutions Development Co., Ltd.KawasakiJapan

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