skip to main content
10.1145/1349822.1349871acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
research-article

Using a robot proxy to create common ground in exploration tasks

Published:12 March 2008Publication History

ABSTRACT

In this paper, we present a user study of a new collaborative communication method between a user and remotely-located robot performing an exploration task. In the studied scenario, our user possesses scientific expertise but not necessarily detailed knowledge of the robot's capabilities, resulting in very little common ground

between the user and robot. Because the robot is not available during mission planning, we introduce a robot proxy to build common ground with the user. Our robot proxy has the ability to provide feedback to the user about the user's plans before the plans are executed. Our study demonstrated that the use of the robot proxy resulted in

improved performance and efficiency on an exploration task, more accurate mental models of the robot's capabilities, a stronger perception of effectiveness at the task, and stronger feelings of collaboration with the robotic system.

References

  1. {1} S. E. Brennan and E. A. Hulteen. Interaction and feedback in a spoken language system: A theoretical framework. Knowledge-Based Systems, 8:143--151, 1995.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. {2} J. L. Burke, R. L. Murphy, M. D. Coovert, and D. L. Riddle. Moonlight in Miami: A field study of human-robot interaction in the context of an urban search and rescue disaster response training exercise. Human-Computer Interaction, 19(1--2):85--116, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. {3} H. Clark and C. Marshall. Definite reference and mutual knowledge. In A. K. Joshi, B. L. Webber, and I. A. Sag, editors, Elements of discourse understanding, pages 10--63. Cambridge University Press, 1981.Google ScholarGoogle Scholar
  4. {4} H. Clark and D. Wilkes-Gibbs. Referring as a collaborative process. Cognition, 22(1):1--39, 1986.Google ScholarGoogle ScholarCross RefCross Ref
  5. {5} H. H. Clark. Using Language. Cambridge University Press, 1996.Google ScholarGoogle Scholar
  6. {6} H. H. Clark and S. E. Brennan. Grounding in communication. In L. B. Resnick, R. M. Levine, and S. D. Teasley, editors, Perspectives on socially shared cognition, pages 127--149. APA, 1991.Google ScholarGoogle Scholar
  7. {7} J. L. Drury, L. Riek, and N. Rackliffe. A decomposition of UAV-related situation awareness. In Proceedings of the First Annual Conference on Human-Robot Interaction, pages 89--94, March 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. {8} J. L. Drury, J. Scholtz, and H. A. Yanco. Awareness in human-robot interactions. In International Conference on Systems, Man and Cybernetics 2003, volume 1, pages 912--918, October 2003.Google ScholarGoogle ScholarCross RefCross Ref
  9. {9} M. R. Endsley. Theoretical underpinnings of situation awareness: A critical review. In M. R. Endsley and D. J. Garland, editors, Situation Awareness: Analysis and Measurement, chapter 1, pages 1--32. Lawrence Erlbaum, 2000.Google ScholarGoogle Scholar
  10. E. Falcone, R. Gockley, E. Porter, and I. Nourbakhsh. The Personal Rover Project: The comprehensive design of a domestic personal robot. Robotics and Autonomous Systems, 42:245--258, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  11. P. J. Hinds, T. L. Roberts, and H. Jones. Whose job is it anyway? A study of human--robot interaction in a collaborative task. Human-Computer Interaction, (1--2):151--181, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. H. Jones and P. Hinds. Extreme work teams: Using SWAT teams as a model for coordinating distributed robots. In Proceedings of Computer Supported Cooperative Work 2002, New Orleans, Louisiana, pages 372--380, November 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. S. Kiesler. Fostering common ground in human-robot interaction. In Proceedings of the IEEE International Workshop on Robots and Human Interactive Communication (RO--MAN), pages 729--734, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  14. R. M. Krauss and S. R. Fussell. Social psychological models of interpersonal communication. In E. T. Higgins and A. Kruglanski, editors, Social psychology: Handbook of basic principles, pages 655--701. Guilford Press, 1996.Google ScholarGoogle Scholar
  15. S. Li, B. Wrede, and G. Sagerer. A computational model of multi-modal grounding. In Proceedings of the ACL SIGdial Workshop on Discourse and Dialog, in conjunction with COLING/ACL 2006, pages 153--160. ACL Press, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. T. Paek and E. Horvitz. Uncertainty, utility, and misunderstanding: A decision-theoretic perspective on grounding in conversational systems. In Psychological models of communication in collaborative systems: Papers from the AAAI Fall Symposium, November 5-7, North Falmouth, Massachusetts, pages 85--92, 1999.Google ScholarGoogle Scholar
  17. K. Severinson-Eklundh, H. Huttenrauch, and A. Green. Social and collaborative aspects of interaction with a service robot. Robotics and Autonomous Systems, Special Issue on Socially Interactive Robots, 42(3--4), 2003.Google ScholarGoogle Scholar
  18. K. Stubbs, P. Hinds, and D. Wettergreen. Challenges to grounding in human-robot interaction: Sources of errors and miscommunications in remote exploration robotics. In Proceedings of the First International Conference on Human-Robot Interaction. ACM, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. K. Stubbs, P. Hinds, and D. Wettergreen. Autonomy and common ground in human-robot interaction: A field study. IEEE Intelligent Systems, Special Issue on Interacting with Autonomy, 22(2):42--50, March--April 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. C. Torrey, A. Powers, M. Marge, S. R. Fussell, and S. Kiesler. Effects of adaptive robot dialogue on information exchange and social relations. In Proceedings of the First Annual Conference on Human-Robot Interaction, pages 126--133. ACM, March 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. H. A. Yanco, J. L. Drury, and J. Scholtz. Beyond usability evaluation: Analysis of human--robot interaction at a major robotics competition. Human-Computer Interaction, 19(1--2):117--149, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Using a robot proxy to create common ground in exploration tasks

          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 '08: Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
            March 2008
            402 pages
            ISBN:9781605580173
            DOI:10.1145/1349822

            Copyright © 2008 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: 12 March 2008

            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