Advertisement

Hearing-Dog Robot to Wake People Up Using its Bumping Action

  • Yukihiro Yoshida
  • Daiki Sekiya
  • Tsuyoshi Nakamura
  • Masayoshi Kanoh
  • Koji Yamada
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 726)

Abstract

We propose a robot inspired by the behavior of hearing dogs. Hearing dog is a guide dog for deaf people by notifying them of some life sounds such as fire alarms , doorbells, wake-up calls and so on. Hearing dogs use their touching behavior to communicate deaf people. This is a kind of haptic communications. The proposed robot also uses physical contact to communicate the people like hearing dog’s touching behavior. The robot can approach and bump the people to notify of some life sounds happened around the people. This paper utilized the robot as wake-up call. We conducted an experiment to evaluate the usefulness of the robot to wake up sleeping people. This paper reports the experimental results and discusses usefulness of the robot’s wake-up call.

References

  1. 1.
    Hart, L.A., et al.: The socializing role of hearing dogs. Appl. Anim. Behav. Sci. 47(1), 7–15 (1996)CrossRefGoogle Scholar
  2. 2.
    Guest, C. M., et al.: Hearing dogs: A longitudinal study of social and psychological effects on deaf and hard-of-hearing recipients. J. Deaf Stud. Deaf Educ, 11(2), 252–261 (2006)Google Scholar
  3. 3.
    Matamoros, R., Seitz, L.L.: Effects of assistance dogs on persons with mobility or hearing impairments: A pilot study. J. Rehabil. Res. Dev. 45(4), 489–503 (2008)CrossRefGoogle Scholar
  4. 4.
    Gácsi, M., et al.: Assistance dogs provide a useful behavioral model to enrich communicative skills of assistance robots. Front. Psychol, 4 (2013)Google Scholar
  5. 5.
    Lakatos, G., et al.: Dog-inspired social behavior in robots with different embodiments. (2013)Google Scholar
  6. 6.
    Koay, K. L., et al.: Hey! There is someone at your door. A hearing robot using visual communication signals of hearing dogs to communicate intent. In: 2013 IEEE Symposium on Artificial Life (ALIFE). IEEE (2013)Google Scholar
  7. 7.
    Furuhashi, M., et al.: Haptic Communication Robot for Urgent Notification of Hearing-Impaired People. In: ACM/IEEE International Conference on Human-Robot Interaction (HRI) (2016)Google Scholar
  8. 8.
    Sekiya, D., et al.: Can a robot wake a sleeping person up by giving him or her a nudge?. In: ACM/IEEE International Conference on Human-Robot Interaction (HRI) (2017)Google Scholar
  9. 9.
    Kidd, C. D., Breazeal, C.: Effect of a robot on user perceptions. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3559–3564 (2004)Google Scholar
  10. 10.
    Kiesler, S., et al.: Anthropomorphic interactions with a robot and robot-like agent. Soc. Cogn. 26(2), 169–183 (2008)CrossRefGoogle Scholar
  11. 11.
    Li, J., Chignell, M.: Communication of emotion in social robots through simple head and arm movements. Int. J. Soc. Robot. 3(2), 125–142 (2011)CrossRefGoogle Scholar
  12. 12.
    Li, J.: The nature of the bots: How people respond to robots virtual agents and humans as multimodal stimuli. In: Proceedings of ICMI 2013, pp. 337–340 (2013)Google Scholar
  13. 13.
    Nakagawa, K., et al.: Effect of robot’s active touch on people’s motivation. In: ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 465–472 (2011)Google Scholar
  14. 14.
    Chen, T. L., et al.: Touched by a robot: An investigation of subjective responses to robot-initiated touch. In: ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 57–464 (2011)Google Scholar
  15. 15.
    Tsuzuki, H., et al.: An approach for sound source localization by complex-valued neural network. In: IEICE Transactions on Information and System E96-D(10), pp. 2257–2265 (2013)Google Scholar
  16. 16.
    Kudo, H., et al.: Behavior model for hearing-dog robot. In: International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2016) (2016)Google Scholar
  17. 17.
    Kogure, T., et al.: Automatic sleep/wake scoring from body motion in bed: Validation of a newly developed sensor placed under a mattress. J. Physiol. Anthropol. 30(3), 103–109 (2011)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Yukihiro Yoshida
    • 1
  • Daiki Sekiya
    • 1
  • Tsuyoshi Nakamura
    • 1
  • Masayoshi Kanoh
    • 2
  • Koji Yamada
    • 3
  1. 1.Nagoya Institute of TechnologyShowa-kuJapan
  2. 2.Chukyo UniversityShowa-kuJapan
  3. 3.Institute of Advanced Media Arts and SciencesOgakiJapan

Personalised recommendations