Advertisement

iCharibot: Design and Field Trials of a Fundraising Robot

  • Miguel Sarabia
  • Tuan Le Mau
  • Harold Soh
  • Shuto Naruse
  • Crispian Poon
  • Zhitian Liao
  • Kuen Cherng Tan
  • Zi Jian Lai
  • Yiannis Demiris
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8239)

Abstract

In this work, we address the problem of increasing charitable donations through a novel, engaging fundraising robot: the Imperial Charity Robot (iCharibot). To better understand how to engage passers-by, we conducted a field trial in outdoor locations at a busy area in London, spread across 9 sessions of 40 minutes each. During our experiments, iCharibot attracted 679 people and engaged with 386 individuals. Our results show that interactivity led to longer user engagement with the robot. Our data further suggests both saliency and interactivity led to an increase in the total donation amount. These findings should prove useful for future design of robotic fundraisers in particular and for social robots in general.

Keywords

Interactive Mode Behaviour Mode Social Robot User Engagement Donation Amount 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bauer, A., Klasing, K., Lidoris, G., Mühlbauer, Q., Rohrmüller, F., Sosnowski, S., Xu, T., Kühnlenz, K., Wollherr, D., Buss, M.: The autonomous city explorer: Towards natural human-robot interaction in urban environments. Intl. J. of Social Robot. 1(2), 127–140 (2009)CrossRefGoogle Scholar
  2. 2.
    Breazeal, C.: Emotion and sociable humanoid robots. Intl. J. Human-Computer Stud. 59(1-2), 119–155 (2003)CrossRefGoogle Scholar
  3. 3.
    Burgard, W., Cremers, A., Fox, D., Hähnel, D., Lakemeyer, G., Schulz, D., Steiner, W., Thrun, S.: Experiences with an interactive museum tour-guide robot. Artif. Intell. 114(1-2), 3–55 (1999)CrossRefzbMATHGoogle Scholar
  4. 4.
    Clark, R.A., Richmond, K., King, S.: Festival 2 – Build Your Own General Purpose Unit Selection Speech Synthesiser. In: Proc. of ISCA Speech Synthesis Workshop, pp. 173–178 (2004)Google Scholar
  5. 5.
    Dobbs, J., Jochum, V., Wilding, K., Lipscomb, L., Smith, M., Harrison, R.: UK Giving 2011: An overview of charitable giving in the UK (2011)Google Scholar
  6. 6.
    Goetz, J., Kiesler, S., Powers, A.: Matching robot appearance and behavior to tasks to improve human-robot cooperation. In: Proc. of IEEE RO-MAN, pp. 55–60 (2003)Google Scholar
  7. 7.
    Kim, M.S., Cha, B.K., Park, D.M., Lee, S.M., Kwak, S., Lee, M.K.: Dona: Urban Donation Motivating Robot. In: Proc. of ACM/IEEE HRI, pp. 159–160 (2010)Google Scholar
  8. 8.
    La Russa, G., Sutinen, E., Cronje, J.C.: When a robot turns into a totem: The RoboBeggar case. In: Soomro, S. (ed.) E-learning Experiences and Future, ch. 17, pp. 327–344. InTech (2010)Google Scholar
  9. 9.
    Lindskold, S., Forte, R.A., Haake, C.S., Schmidt, E.K.: The Effects of Directness of Face-to-Face Requests and Sex of Solicitor on Streetcorner Donations. J. of Social Psychology 101, 45–51 (1977)CrossRefGoogle Scholar
  10. 10.
    Mori, M.: The uncanny valley. Energy 7(4), 33–35 (1970)Google Scholar
  11. 11.
    Quigley, M., Gerkey, B., Conley, K., Faust, J., Foote, T., Leibs, J., Berger, E., Wheeler, R., Ng, A.: ROS: an open-source Robot Operating System. In: Proc. of the Open Source Software Workshop at ICRA (2009)Google Scholar
  12. 12.
    Shiomi, M., Sakamoto, D., Kanda, T., Ishi, C.T., Ishiguro, H., Hagita, N.: Field Trial of a Networked Robot at a Train Station. Intl. J. of Social Robot. 3(1), 27–40 (2010)CrossRefGoogle Scholar
  13. 13.
    Thrun, S., Bennewitz, M., Burgard, W., Cremers, A., Dellaert, F., Fox, D., Hahnel, D., Rosenberg, C., Roy, N., Schulte, J., et al.: MINERVA: A second-generation museum tour-guide robot. In: Proc. of IEEE ICRA, pp. 1999–2005 (1999)Google Scholar
  14. 14.
    Weiss, A., Bernhaupt, R., Tscheligi, M., Wollherr, D., Kuhnlenz, K., Buss, M.: A methodological variation for acceptance evaluation of Human-Robot Interaction in public places. In: Proc. of IEEE RO-MAN, pp. 713–718 (2008)Google Scholar
  15. 15.
    Yuasa, M., Saito, K., Mukawa, N.: Brain activity associated with graphic emoticons. The effect of abstract faces in communication over a computer network. Electrical Engineering in Japan 177(3), 36–45 (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Miguel Sarabia
    • 1
  • Tuan Le Mau
    • 1
  • Harold Soh
    • 1
  • Shuto Naruse
    • 1
  • Crispian Poon
    • 1
  • Zhitian Liao
    • 1
  • Kuen Cherng Tan
    • 1
  • Zi Jian Lai
    • 1
  • Yiannis Demiris
    • 1
  1. 1.Personal Robotics Lab, Department of Electrical and Electronic EngineeringImperial College LondonUK

Personalised recommendations