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Relational Agents Improve Engagement and Learning in Science Museum Visitors

  • Timothy Bickmore
  • Laura Pfeifer
  • Daniel Schulman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6895)

Abstract

A virtual museum guide agent that uses human relationship-building behaviors to engage museum visitors is described. The agent, named “Tinker”, appears in the form of a human-sized anthropomorphic robot, and uses nonverbal conversational behavior, empathy, social dialogue, reciprocal self-disclosure and other relational behavior to establish social bonds with users. Tinker can describe exhibits in the museum, give directions, and discuss technical aspects of her own implementation. Results from an experiment involving 1,607 visitors indicate that the use of relational behavior leads to significantly greater engagement by museum visitors, measured by session length, number of sessions, and self-reported attitude, as well as learning gains, as measured by a knowledge test, compared to the same agent that did not use relational behavior. Implications for museum exhibits and intelligent tutoring systems are discussed.

Keywords

Relational agents social interfaces interactive installation embodied conversational agent intelligent virtual agent pedagogical agent intelligent tutoring system 

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References

  1. 1.
    Moon, Y.: Intimate self-disclosure exchanges: Using computers to build reciprocal relationships with consumers. Harvard Business School, Boston (1998)Google Scholar
  2. 2.
    Schulman, D., Sharma, M., Bickmore, T.: The Identification of Users by Relational Agents. Autonomous Agents and Multi-Agent Systems (2008)Google Scholar
  3. 3.
    Wentzel, K.: Social-Motivational Processes and Interpersonal Relationships: Implications for Understanding Motivation at School. Journal of Educational Psychology 91, 76–97 (1999)CrossRefGoogle Scholar
  4. 4.
    Yee, N., Bailenson, J., Rickertsen, K.: A meta-analysis of the impact of the inclusion and realism of human-like faces on user experiences in interfaces. In: Conference A meta-analysis of the Impact of the Inclusion and Realism of Human-like Faces on user Experiences in Interfaces (2007)Google Scholar
  5. 5.
    Dehn, D.M., Mulken, S.v.: The Impact of Animated Interface Agents: A Review of Empirical Research. International Journal of Human-Computer Studies 52, 1–22 (2000)CrossRefGoogle Scholar
  6. 6.
    Damon, W., Phelps, E.: Strategic Uses of Peer Learning in Children’s Education. In: Berndt, T., Ladd, G. (eds.) Peer Relationships in Child Development, pp. 135–157. Wiley, New York (1989)Google Scholar
  7. 7.
    Hartup, W.: Cooperation, close relationships, and cognitive development. In: Bukowski, W., Newcomb, A., Hartup, W. (eds.) The company they keep: Friendship in Childhood and Adolescence, pp. 213–237. Cambridge University Press, Cambridge (1996)Google Scholar
  8. 8.
    Lester, J.C., Voerman, J.L., Towns, S.G., Callaway, C.B.: Cosmo: A Life-like Animated Pedagogical Agent with Deictic Believability. In: Conference Cosmo: A Life-like Animated Pedagogical Agent with Deictic Believability (1997) Google Scholar
  9. 9.
    Lester, J., Stone, B., Stelling, G.: Lifelike Pedagogical agents for Mixed-Initiative Problem Solving in Constructivist Learning Environments. User Modeling and User-Adapted Interaction 9, 1–44 (1999)CrossRefGoogle Scholar
  10. 10.
    Moreno, R., Lester, J.C., Mayer, R.E.: Life-Like Pedagogical Agents in Constructivist Multimedia Environments: Cognitive Consequences of their Interaction. In: Conference Life-Like Pedagogical Agents in Constructivist Multimedia Environments: Cognitive Consequences of their Interaction, pp. 741–746 (2000) Google Scholar
  11. 11.
    Graesser, A., et al.: AutoTutor: A simulation of a human tutor. Cognitive Systems Research 1 (1999)Google Scholar
  12. 12.
    Krämer, N.C., Bente, G.: Personalizing e-Learning. The Social Effects of Pedagogical Agents. Educational Psychology Review 22, 71–87 (2010)Google Scholar
  13. 13.
    Person, N.K., Graesser, A.C., Bautista, L., Mathews, E.C.: Evaluating Student Learning Gains in Two Versions of AutoTutor. In: Moore, J.D., Redfield, C.L., Johnson, W.L. (eds.) Artificial Intelligence in Education: AI-ED in the Wired and Wireless Future, pp. 286–293. IOS Press, Amsterdam (2001)Google Scholar
  14. 14.
    Graesser, A.C., Jackson, G., McDaniel, B.: AutoTutor holds conversations with learners that are responsive to their cognitive and emotional states. Educational Technology 47, 19–22 (2007)Google Scholar
  15. 15.
    Kopp, S., Gesellensetter, L., Krämer, N., Wachsmuth, I.: A conversational agent as museum guide – design and evaluation of a real-world application. In: Conference A Conversational Agent as Museum Guide – Design and Evaluation of a Real-world Application, pp. 329–343. Springer, Heidelberg (2005)Google Scholar
  16. 16.
    Shiomi, M., Kanda, T., Ishiguro, H., Hagita, N.: Interactive Humanoid Robots for a Science Museum. In: Conference Interactive Humanoid Robots for a Science Museum (2006) Google Scholar
  17. 17.
    Swartout, W., Traum, D., Artstein, R., Noren, D., Debevec, P., Bronnenkant, K., Williams, J., Leuski, A., Narayanan, S., Piepol, D.: Ada and Grace: Toward realistic and engaging virtual museum guides. In: 10th International Conference on Intelligent Virtual Agents, pp. 286–300 (2010)Google Scholar
  18. 18.
    Gockley, R., Bruce, A., Forlizzi, J., Michalowski, M., Mundell, A., Rosenthal, S., Sellner, B., Simmons, R., Snipes, K., Schultz, A.C., Wang, J.: Designing Robots for Long-Term Social Interaction. In: Conference Designing Robots for Long-Term Social Interaction (2005)Google Scholar
  19. 19.
    Bickmore, T., Picard, R.: Establishing and Maintaining Long-Term Human-Computer Relationships. ACM Transactions on Computer Human Interaction 12, 293–327 (2005)CrossRefGoogle Scholar
  20. 20.
    Bickmore, T., Pfeifer, L., D, S., Perera, S., Senanayake, C., Nazmi, I.: Public Displays of Affect: Deploying Relational Agents in Public Spaces. In: CHI, Florence, Italy (2008)Google Scholar
  21. 21.
    Cassell, J., Vilhjálmsson, H., Bickmore, T.: BEAT: The Behavior Expression Animation Toolkit. In: Conference BEAT: The Behavior Expression Animation Toolkit, pp. 477–486 (2001)Google Scholar
  22. 22.
    Bickmore, T., Caruso, L., Clough-Gorr, K., Heeren, T.: “It’s just like you talk to a friend” - Relational Agents for Older Adults. Interacting with Computers 17, 711–735 (2005)CrossRefGoogle Scholar
  23. 23.
    Cassell, J., Sullivan, J., Prevost, S., Churchill, E. (eds.): Embodied Conversational Agents. The MIT Press, Cambridge (2000)Google Scholar
  24. 24.
    Havens, L.: Making Contact: Uses of Language in Psychotherapy. Harvard University Press, Cambridge (1986)Google Scholar
  25. 25.
    Gelso, C., Hayes, J.: The Psychotherapy Relationship: Theory, Research and Practice. John Wiley and Sons, New York (1998)Google Scholar
  26. 26.
    Svennevig, J.: Getting Acquainted in Conversation. John Benjamins, Philadephia (1999)Google Scholar
  27. 27.
    Altman, I., Taylor, D.: Social penetration: The development of interpersonal relationships. Holt, Rinhart & Winston, New York (1973)Google Scholar
  28. 28.
    Gill, D., Christensen, A., Fincham, F.: Predicting marital satisfaction from behavior: Do all roads really lead to Rome? Personal Relationships 6, 369–387 (1999)CrossRefGoogle Scholar
  29. 29.
    Cole, T., Bradac, J.: A Lay Theory of Relational Satisfaction with Best Friends. Journal of Social and Personal Relationships 13, 57–83 (1996)CrossRefGoogle Scholar
  30. 30.
    Laver, J.: Linguistic routines and politeness in greeting and parting. In: Coulmas, F. (ed.) Conversational routine, pp. 289–304. Mouton, The Hague (1981)Google Scholar
  31. 31.
    Okun, B.: Effective Helping: Interviewing and Counseling Techniques. Brooks/Cole, Pacific Grove (1997)Google Scholar
  32. 32.
    Baron, R., Kenny, D.: The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations. Journal of Personality and Social Psychology 51, 1173–1182 (1986)CrossRefGoogle Scholar
  33. 33.
    MacKinnon, D.P., Lockwood, C.M., Hoffman, J.M., West, S.G., Sheets, V.: A comparison of methods to test mediation and other intervening variable effects. Psychological Methods 7, 83–104 (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Timothy Bickmore
    • 1
  • Laura Pfeifer
    • 1
  • Daniel Schulman
    • 1
  1. 1.College of Computer & Information ScienceNortheastern UniversityBostonUSA

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