skip to main content
10.1145/1957656.1957674acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
research-article

Expressing thought: improving robot readability with animation principles

Published:06 March 2011Publication History

ABSTRACT

The animation techniques of anticipation and reaction can help create robot behaviors that are human readable such that people can figure out what the robot is doing, reasonably predict what the robot will do next, and ultimately interact with the robot in an effective way. By showing forethought before action and expressing a reaction to the task outcome (success or failure), we prototyped a set of human-robot interaction behaviors. In a 2 (forethought vs. none: between) x 2 (reaction to outcome vs. none: between) x 2 (success vs. failure task outcome: within) experiment, we tested the influences of forethought and reaction upon people's perceptions of the robot and the robot's readability. In this online video prototype experiment (N=273), we have found support for the hypothesis that perceptions of robots are influenced by robots showing forethought, the task outcome (success or failure), and showing goal-oriented reactions to those task outcomes. Implications for theory and design are discussed.

Skip Supplemental Material Section

Supplemental Material

151r.m4v

m4v

15.4 MB

References

  1. M. Argyle. Bodily communication. Taylor & Francis, 1988.Google ScholarGoogle Scholar
  2. C. Breazeal. A motivation system for regulation human-robot interaction. In AAAI, pages 54--61, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. C. Breazeal, A. Brooks, J. Gray, M. Hancher, J. McBean, D. Stiehl, and J. Strickon. Interactive robot theater. Comm. of the ACM, 46:76--85, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. C. Breazeal, C. D. Kidd, A. L. Thomaz, G. Hoffman, and M. Berlin. Effects of nonverbal communication on efficiency and robustness in human-robot teamwork. In IROS, pages 708--713, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  5. A. Bruce, I. Nourbakhsh, and Y. R. Simmons. The role of expressiveness and attention in human-robot interaction. In ICRA, pages 4138--4142, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  6. B. Buxton. Sketching user experiences: Getting the design right and the right design. Morgan Kaufmann, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. H. Clark. Using language. Computational Linguistics, 23(4), 1996.Google ScholarGoogle Scholar
  8. E. Goffman. The presentation of self in everyday life. Harmondsworth, 1978.Google ScholarGoogle Scholar
  9. E. Hall. The hidden dimension. Doubleday, Gorden City, NY, 1966.Google ScholarGoogle Scholar
  10. J. Harris and E. Sharlin. Exploring emotive actuation and its role in human-robot interaction. In HRI, pages 95--96, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. G. Hoffman and C. Breazeal. Robotic partners' bodies and minds: An embodied approach to fluid human-robot collaboration. In Cognitive Robotics, 2006.Google ScholarGoogle Scholar
  12. G. Hoffman and G. Weinberg. Shimon: An interactive improvisational robotic marimba player. In CHI, pages 3097--3102, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. W. Ju and L. Takayama. Approachability: How people interpret automatic door movement as gesture. International Journal of Design, 3(2), 2009.Google ScholarGoogle Scholar
  14. S. Kiesler, A. Powers, S. R. Fussell, and C. Torrey. Anthropomorphic interactions with a robot and robot-like agent. Social Cognition, 2:169--181, 26.Google ScholarGoogle Scholar
  15. J. Lasseter. Principles of tranditional animation applied to 3d computer animation. In SIGGRAPH, pages 35--44, 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. A. J. Madhani. Bringing physical characters to life. In HRI, pages 1--2, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. R. Mead and M. J. Mataric. Automated caricature of robot expressions in socially assisted human-robot interaction. In HRI workshop, 2010.Google ScholarGoogle Scholar
  18. B. Mutlu, T. Shiwa, T. Kanda, H. Ishiguro, and N. Hagita. Footing in human-robot conversations: How robots might shape participant roles using gaze cues. In HRI, pages 61--68, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. D. Norman. The design of future things. Basic Books, 2007.Google ScholarGoogle Scholar
  20. D. S. Syrdal, N. Otero, and K. Dautenhann. Video prototyping in human-robot interaction: Results from a qualitative study. In HRI, pages 1--8, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. F. Thomas and O. Johnston. The Illusion of Life: Disney Animation. Hyperion, 1981.Google ScholarGoogle Scholar
  22. A. Van Breemen, P. Res, and N. Eindhoven. Animation engine for believable interactive user-interface robots. In IROS, pages 2873--2878, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  23. P. Viechnicki. A performance evaluation of automatic survey classifiers, pages 244--256. Springer-Verlag, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. R. Wistort. Only robots on the inside. Interactions, 17(2):72--74, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. S. Woods, M. L. Walters, K. L. Koay, and K. Dautenhahn. Comparing human robot interaction scenarios using live and video based methods. In Workshop on Advanced Motion Control, pages 27--29, 2006.Google ScholarGoogle Scholar

Index Terms

  1. Expressing thought: improving robot readability with animation principles

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      HRI '11: Proceedings of the 6th international conference on Human-robot interaction
      March 2011
      526 pages
      ISBN:9781450305617
      DOI:10.1145/1957656

      Copyright © 2011 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 March 2011

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate242of1,000submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader