Advertisement

Construction of a Cooperative Operation Avatar Robot System to Enhance Collective Efficacy

  • Takafumi SekidoEmail author
  • Ryosuke Sakamoto
  • Teppei Onishi
  • Hiroyasu Iwata
Conference paper
Part of the Springer Proceedings in Advanced Robotics book series (SPAR, volume 7)

Abstract

Since the number of people with dementia in Japan is growing, prevention of dementia or improvement of its symptoms are increasingly required. To address this problem, we constructed a system which reduces risk factors for dementia using a cooperative operation robot and an obstacle course activity for the elderly. This robot and the activity enabled players to communicate effectively and increase collective efficacy. We conducted experiments using the cooperative operation system with eight healthy elderly subjects. The subjects expressed more positive feelings, increased the time spent in conversation, and exercised more by swinging their arms during cooperative operation than during single operation. These results show that the cooperative operation robot and activity we developed helped elderly people to improve their collective efficacy. Therefore, this system may have a role in reduction of risk factors for dementia in the elderly.

Keywords

Dementia Elderly Robot-assisted therapy Activity Cooperative operation Collective efficacy Communication 

Notes

Acknowledgements

We would like to thank Kazuhiro Yasuda, who is Junior Researcher (Assistant Professor) at our laboratory. In addition, we thank Zenyu Ogawa, who is an external researcher at our laboratory, and his friends for their support on this project.

References

  1. 1.
    Ministry of Internal Affairs and Communications statistics Bureau. http://www.stat.go.jp/data/jinsui/2012np/
  2. 2.
  3. 3.
    Barnes, D.E., Yaffe, K.: The projected impact of risk factor reduction on Alzheimer’s disease prevalence. Lancet Neurol. 10, 819–828 (2011)CrossRefGoogle Scholar
  4. 4.
    Bandura, A.: Social foundations of thought and action: a social cognitive theory. Prentice-Hall, Englewood Cliffs (1986)Google Scholar
  5. 5.
    Bandura, A.: Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84, 191–215 (1977)CrossRefGoogle Scholar
  6. 6.
    Stajkovic, A.D., Luthans, F.: Self-efficacy and work related performance: a meta-analysis. Psychol. Bull. 124(2), 240–261 (1998)CrossRefGoogle Scholar
  7. 7.
    Bandura, A.: Self-efficacy: the exercise of control. Freeman, New York (1997)Google Scholar
  8. 8.
    Zaccaro, S.J., Blair, V., Peterson, C., Zazanis, M.: Collective efficacy. In: Maddux, J.E. (ed.) Self-Efficacy, Adaptation, and Adjustment. The Plenum Series in Social/Clinical Psychology. Springer, Boston, MA (1995)CrossRefGoogle Scholar
  9. 9.
    Gibson, C.B.: Do they do what they believe they can? Group efficacy and group effectiveness across tasks and cultures. Acad. Manag. J. 42(2), 138–152 (1999)Google Scholar
  10. 10.
    Vargas-Tonsing, T.M., Warners, A.L., Feltz, D.L.: The predictability of coaching efficacy on team efficacy and player efficacy in volleyball. J. Sport Behav. 26(4), 396–407 (2003)Google Scholar
  11. 11.
    Feltz, D.L., Short, S.E., Sullivan, P.J.: Self-efficacy in sport: research and strategies for working with athletes, teams, and coaches. Human Kinetics, Champaign (2007)Google Scholar
  12. 12.
    Hagger, M., Chatzisarantis, N.: The social psychology of exercise and sport. Open University Press, UK (2005)Google Scholar
  13. 13.
    Caron, A.V.: Cohesiveness in sport group: Interpretations and considerations. J. Sport Psychol. 4, 123–138 (1982)CrossRefGoogle Scholar
  14. 14.
    Carron, A.V., Mark, A.E.: Group dynamics in sport. Fitness Information Technology Publishing, West Virginia (2012)Google Scholar
  15. 15.
    Mochida, K., Takami, K., Shimamoto, K.: The effect of individual factors on group cohesiveness and collective efficacy in sports: Effects of members’ life skills on the group. Jpn. J. Sports Ind. 25(1), 25–37 (2015)Google Scholar
  16. 16.
    American Psychiatric Association: Practice guideline for the treatment of patients with Alzheimer’s disease and other dementias of late life. Am. J. Psychiatry 154, 1–39 (1997)Google Scholar
  17. 17.
    Szeto, J.Y., Lewis, S.J.: Current treatment options for Alzheimer’s disease and Parkinson’s disease dementia. Curr. Neuropharmacol. 14(4), 326–338 (2016)CrossRefGoogle Scholar
  18. 18.
    Rouaix, N., Chavastel, L.R., Rigaud, A.S., Monnet, C., Lenoir, H., Pino, M.: Affective and engagement issues in the conception and assessment of a robot-assisted psychomotor therapy for persons with dementia. Front. Psychology. 8(1), 1–15 (2017)Google Scholar
  19. 19.
    Shibata, T., Wada, K.: A new approach for mental healthcare of the elderly—a mini-review. Gerontology 57, 378–386 (2011)CrossRefGoogle Scholar
  20. 20.
    Shibata, T.: Therapeutic seal robot as biofeedback medical device: qualitative and quantitative evaluations of robot therapy in dementia care. Proc. IEEE 100(8), 2527–2538 (2012)CrossRefGoogle Scholar
  21. 21.
    Wada, K., Shibata, T., Musha, T., Kimura, S.: Effects of robot therapy for dementia patients evaluated by EEG. In: Proceedings of the IEEE/RSJ International Conference on IROS, pp. 2205–2210 (2005)Google Scholar
  22. 22.
    Hamada, T., Kagawa, Y., Onari, H., Naganuma, M., Hashimoto, T., Yoneoka, T.: Study on transition of elderly people’s reactions in robot therapy. In: 11th ACM/IEEE International Conference on Human-Robot Interaction, pp. 431–432. Christchurch (2016)Google Scholar
  23. 23.
    Hamada, T., Okubo, H., Inoue, K., Maruyama, J., Onari, H., Kagawa, Y., Hashimoto, T.: Robot therapy as for recreation for elderly people with dementia—game recreation using a pet-type robot. In: Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, pp. 174–179. Technische Universität München, Munich, Germany (2008)Google Scholar
  24. 24.
    Sakamoto, R., Iwata, H.: Development of a bio feedback robot operated by simple movements to enhance the self-efficacy of dementia patients. In: The 6th International Conference on Advanced Mechatronics, pp. 308–309 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Takafumi Sekido
    • 1
    Email author
  • Ryosuke Sakamoto
    • 1
  • Teppei Onishi
    • 1
  • Hiroyasu Iwata
    • 1
  1. 1.Waseda UniversityTokyoJapan

Personalised recommendations