Development of Tidy-up Promotion System by Anthropomorphication of Shared Space

  • Takayoshi KitamuraEmail author
  • Tiange Jin
  • Motoki Urayama
  • Hirotake Ishii
  • Hiroshi Shimoda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9169)


Although it is important for our daily lives and works to keep things tidy and in order, it is difficult to always keep it especially in the shared space because it is unclear who has the responsibility. In this study, therefore, a method to persuade them to change their daily behaviors has been proposed from the concept of Ambient Intelligence. In order to realize the method, a system has been developed to encourage them to keep things tidy and in order by personifying the shared space. The personified system expresses its emotions in response to the degree of the disorder. The system consists of (1) a disorder estimation function from the captured image of the shared space by a camera, (2) an emotion creation function of the personified space by the transition of the disorder, and (3) an emotion expression function in appropriate timing. In addition, a case study had been conducted for 31 days to evaluate the system in a student room of a laboratory. As the result, the longer they stayed in the room, the more they watched the messages of the personified room, and improved their consciousness and habituation of keeping the room in order. However, the users who rarely stayed in the room did not improve the habituation.


Ambient Intelligence Persuasion Nurturance Anthropomorphism 



This study was done through the help of professors and students of Kobe University. We sincerely appreciate their contribution.


  1. 1.
    Murray, H.A.: Explorations in Personality. Oxford University Press, Oxford (1938)Google Scholar
  2. 2.
    Fogg, B.J.: Persuasive Technology. Morgan Kaufmann, Stanford (2002)Google Scholar
  3. 3.
    Zelkha, E., Epstein, B., Birrell, S., Dodsworth, C.: From devices to “ambient intelligence”. In: Digital Living Room Conference (1998)Google Scholar
  4. 4.
    Kaptein, A.M., et al.: Persuasion in ambient intelligence. J. Ambient Intell. Humanized Comput. 1(1), 43–56 (2010)CrossRefGoogle Scholar
  5. 5.
    Rutkin, A.: Twitter bots grow up. New Scientist 223(2980), 20–21 (2014)CrossRefzbMATHGoogle Scholar
  6. 6.
    Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 886–893 (2005)Google Scholar
  7. 7.
    OpenCV. (Accessed on 1st December 2014)
  8. 8.
    Ishii, T.: Watching System for ‘keeping things tidy and in order’. In: Proceedings of the 2011 IEICE General Conference (2011) (in Japanese)Google Scholar
  9. 9.
    Twitter. (Accessed on 1st December 2014)
  10. 10.
    Sharma, R.S.: Who Will Cry When You Die?. Jaico Publishing House, India (2006)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Takayoshi Kitamura
    • 1
    Email author
  • Tiange Jin
    • 2
    • 3
  • Motoki Urayama
    • 1
  • Hirotake Ishii
    • 1
  • Hiroshi Shimoda
    • 1
  1. 1.Graduate School of Energy ScienceKyoto UniversityKyotoJapan
  2. 2.Faculty of EngineeringKyoto UniversityKyotoJapan
  3. 3.Graduate School of EngineeringThe University of TokyoBunkyoJapan

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