An Experiment for Motivating Elderly People with Robot Guided Interaction

  • Ryohei Sasama
  • Tomoharu Yamaguchi
  • Keiji Yamada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6766)


It is important for elderly people to be involved in local community to reduce the risk of being isolated. The authors are building a framework for encouraging elderly people to participate in more activities by providing local news that may be interesting. Nowadays, there is a lot of information on the Internet; however, few elderly people can obtain the benefits of this information. The Internet is used less by elderly people. It has been reported that one reason for this is diminishing cognitive performance. It is not easy for elderly people to learn a new mental model for a new IT system. Thus, the authors propose a robot-guided interaction framework for elderly people. Once the user initiates an interaction, a communication robot initiates the following interaction sequences. The user can simply follow and respond to the guiding robot, and is not required to learn any operational sequence or mental model. An experiment on such guiding robots was performed with ten elderly subjects, and investigated as to how long elderly people can use the system. As a result of a 12-day experiment, all subjects kept using the system almost every day until the end of the experiment period. According to this result, we can conclude that the robot-guided interaction framework is effective for elderly people.


regional activation operation of information systems robot guided interaction 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    The Cabinet Office, Government of Japan: White Paper on Aging Society 2007 Edition, Ch. 3. Tokyo Office of Government Public Relations (2007) (in Japanese)Google Scholar
  2. 2.
    Yamaguchi, T., Sasama, R., Yamada, K.: Design and Concept of Network Robots as Social Agents to Motivate Elderly People. In: Proceedings of the IEEE/RSJ IROS 2009 Workshop (2009)Google Scholar
  3. 3.
    Levinger, G., Snoek, D.J.: Attraction in relationship: A new look at interpersonal attraction. General Learning Press (1972)Google Scholar
  4. 4.
    Fogg, B.J.: Persuasive Technology, pp. 64–66. Elsevier, Amsterdam (2003)Google Scholar
  5. 5.
    Nielsen//NetRatings: Transition of Composition ratio of Web User in the Age Bracket (2006), (in Japanese)
  6. 6.
    Ministry of Internal Affairs and Communications, Government of Japan: Report on Communications Usage Trend Survey 2010 Edition, Ch. 3. Tokyo Office of Government Public Relations (2010) (in Japanese)Google Scholar
  7. 7.
    Harada, E., Akatsu, Y.: Cognitive Science about Usability, Ch. 6. Kyoritsu Press (2003) (in Japanese)Google Scholar
  8. 8.
    Fogg, B.J.: Persuasive Technology, pp. 76–82. Elsevier, Amsterdam (2003)Google Scholar
  9. 9.
    Sano, M., Miyawaki, K., Sasama, R., Yamaguchi, T., Yamada, K.: A Robotic Introducer Agent based on Adaptive Embodied Entrainment Control. In: The 13th International Conference on Human-Computer Interaction (HCII), pp. 368–376 (July 2009)Google Scholar
  10. 10.
    Sano, M., Miyawaki, K., Sasama, R., Yamaguchi, T., Yamada, K.: Adaptive Embodied Entrainment Control and Interaction Design of the First Meeting Introducer Robot. In: 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009), October 11-14, pp. 430–435 (2009)Google Scholar
  11. 11.
    Nakano, Y., Yamada, S.: Design between Human and Robot, pp. 88–113. Tokyo Denki University Press (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ryohei Sasama
    • 1
  • Tomoharu Yamaguchi
    • 1
  • Keiji Yamada
    • 1
  1. 1.C&C Innovation Research LaboratoriesNEC CorporationIkomaJapan

Personalised recommendations