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Human Support Network System Using Friendly Robot

  • Masako Miyaji
  • Toru Yamaguchi
  • Eri Sato
  • Koji Kanagawa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)

Abstract

Because the traditional driver support system warns unilaterally by a display and a sound, it often addles a driver. If you feel burden about a present system using keyboard, mouse and so on, you might feel familiar with a system using a pet-robot. A Pet-robot, which pleases, helps and stays close to human, is called Friendly robot. So we construct a warning system using Friendly robot. In the evaluative experiment 1, we compare the understandablity, the familiarity, and the ability of the notification between Friendly robot and the traditional system. Furthermore, from the result of the evaluation experiment 1, we improve the driver support system about “easy to notify” using several time warnings by Friendly robot. We show the effectiveness of the driver support system using Friendly robot.

Keywords

Evaluation Experiment Warning System Joint Attention Evaluative Experiment Network Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Yamaguchi, T., Sato, E., Takama, Y.: Intelligent Space and Human Centered Robotics. IEEE Transactions on Industrial Electronics 50(5), 881–889 (2003)CrossRefGoogle Scholar
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    Ohashi, K., Yamguchi, T., Tamai, I.: Humane Automotive System Using Driver Intention Recognition. In: SICE Annual Conference 2004, pp. 1164–1167 (2004) CD-ROMGoogle Scholar
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    Kanagawa, K., Sato, E., Yamaguchi, T., Miyaji, M.: Acquisition of Kansei expression by study of mimicry and application to human support network robot system. In: The 6th International Symposium on Advanced Intelligent Systems (ISIS 2005), pp. 171–174 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Masako Miyaji
    • 1
  • Toru Yamaguchi
    • 1
  • Eri Sato
    • 2
  • Koji Kanagawa
    • 1
  1. 1.Tokyo Metropolitan UniversityTokyoJapan
  2. 2.Tokyo Metoropolitan Institute of TechnologyTokyoJapan

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