DOI QR코드

DOI QR Code

A Study on the Appearance Design and Behavior of a Humanoid Robot to Receive Donations Effectively

효과적으로 기부를 받기 위한 인간형 로봇의 외형 디자인 및 행동에 관한 연구

  • Received : 2019.04.02
  • Accepted : 2019.08.02
  • Published : 2019.08.30

Abstract

Robot ALICE@ERICA is a service robot developed to receive donations and to provide information services. ALICE@ERICA stands for Artificial Learning Intelligence robot for Culture and Entertainment at ERICA. In order to achieve the specific purpose of receiving donations, proper appearance design, appropriate movement and good communication skills are required in terms of HRI. In this paper, we introduce three strategies for developing robots to receive donations effectively. The first is to design a robot that makes people feel intimacy, the second is to approach only one of several people as a donor, and finally the donor communicates with video contents and voice recognition. A survey was conducted on the person who showed the reaction after the robot donated money in public places. Based on the survey results, it is proved that the method presented in this study effectively contributed to fund raising. If robots can perform actions that require high level of HRI, such as donation, robots can contribute more to human society. We hope that this study contributes to the improvement of human happiness.

Keywords

References

  1. T. Fong, I. Nourbakhsh, and K. Dautenhahn, "A survey of socially interactive robots," Robotics and Autonomous Systems, vol. 42, issues. 3-4, pp. 143-166, Mar., 2003. https://doi.org/10.1016/S0921-8890(02)00372-X
  2. M. S. Kim, B. K. Cha, D. M. Park, S. M. Lee, S. Kwak, and M. K. Lee, "Dona: Urban Donation Motivating Robot," 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 159-160, Osaka, Japan, 2010.
  3. B. Heater, Don-8r the panhandling robot set to make the homeless obsolete, [Online], https://www.engadget.com/2011/04/26/don-8r-the-panhandling-robot-set-to-make-the-homeless-obsolete/, Accessed: April 26, 2011.
  4. M. Sarabia, T. L. Mau, H. Soh, S. Naruse, C. Poon, Z. Liao, K. C. Tan, Z. J. Lai, and Y. Demiris, "iCharibot: Design and Field Trials of a Fundraising Robot," International Conference on Social Robotics, ICSR 2013: Social Robotics, pp. 412-421, 2013.
  5. Z.-H. Tan, N. B. Thomsen, X. Duan, E. Vlachos, S. E. Shepstone, M. H. Rasmussen, and J. L. Hojvang, "iSocioBot: A Multimodal Interactive Social Robot," International Journal of Social Robotics, vol. 10, issue. 1, pp. 5-19, Jan., 2018. https://doi.org/10.1007/s12369-017-0426-7
  6. R. H. Kim, Y. Moon, J. J. Choi, and S. S. Kwak, "The Effect of Robot Appearance Types on Motivating Donation," 2014 ACM/IEEE International Conference on Human-robot Interaction, Bielefeld, Germany, pp. 210-211, 2014.
  7. S. S. Kwak, "The Impact of the Robot Appearance Types on Social Interaction with a Robot and Service Evaluation of a Robot," Archives of Design Research, vol. 27, no. 2, pp. 81-93, Mar., 2014.
  8. M. Mori and K. F. MacDorman and N. Kageki, "The Uncanny Valley [From the Field]," IEEE Robotics & Automation Magazine, vol.19, issue. 2, pp. 98-100, Jun., 2012.
  9. K. S. Haring, K. Watanabe, and C. Mougenot, "The Influence of Robot Appearance on Assessment," 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Tokyo, Japan, pp. 131-132, 2013.
  10. I. Rae, L. Takayama, and B. Mutlu, "The Influence of Height in Robot-Mediated Communication," 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Tokyo, Japan, pp. 1-8, 2013.
  11. M. Siegel, C. Breazeal, and M. I. Norton, "Persuasive Robotics: The influence of robot gender on human behavior," 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA, pp. 2563-2568, 2009.
  12. J. Redmon and A. Farhadi, "YOLO9000: Better, Faster, Stronger," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, pp. 7263-7271, 2017.
  13. Q. Nguyen, S.-S. Yun, and J. Choi, "Audio-visual integration for human-robot interaction in multi-person scenarios," 2014 IEEE Emerging Technology and Factory Automation (ETFA), Barcelona, Spain, pp.1-4, 2014.
  14. Y. Kobayashi and Y. Kuno, "People tracking using integrated sensors for human robot interaction," 2010 IEEE International Conference on Industrial Technology, Vina del Mar, Chile, pp. 1617-1622, 2010.
  15. M. S. Bartlett, G. Littlewort, I. Fasel, and J. R. Movellan, "Real Time Face Detection and Facial Expression Recognition: Development and Applications to Human Computer Interaction," 2003 Conference on Computer Vision and Pattern Recognition Workshop, Madison, Wisconsin, USA, pp. 53-53, 2003.

Cited by

  1. 기계식 중력보상 기반의 가정용 5자유도 로봇 팔 vol.15, pp.1, 2019, https://doi.org/10.7746/jkros.2020.15.1.048