Creating Rapport with Virtual Agents

  • Jonathan Gratch
  • Ning Wang
  • Jillian Gerten
  • Edward Fast
  • Robin Duffy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4722)

Abstract

Recent research has established the potential for virtual characters to establish rapport with humans through simple contingent nonverbal behaviors. We hypothesized that the contingency, not just the frequency of positive feedback is crucial when it comes to creating rapport. The primary goal in this study was evaluative: can an agent generate behavior that engenders feelings of rapport in human speakers and how does this compare to human generated feedback? A secondary goal was to answer the question: Is contingency (as opposed to frequency) of agent feedback crucial when it comes to creating feelings of rapport? Results suggest that contingency matters when it comes to creating rapport and that agent generated behavior was as good as human listeners in creating rapport. A “virtual human listener” condition performed worse than other conditions.

Keywords

Rapport virtual agents evaluation 

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References

  1. 1.
    Tickle-Degnen, L., Rosenthal, R.: The Nature of Rapport and its Nonverbal Correlates. Psychological Inquiry 1(4), 285–293 (1990)CrossRefGoogle Scholar
  2. 2.
    Drolet, A.L., Morris, M.W.: Rapport in conflict resolution: accounting for how face-to-face contact fosters mutual cooperation in mixed-motive conflicts. Experimental Social Psychology 36, 26–50 (2000)CrossRefGoogle Scholar
  3. 3.
    Cogger, J.W.: Are you a skilled interviewer? Personnel Journal 61, 840–843 (1982)Google Scholar
  4. 4.
    Tsui, P., Schultz, G.L.: Failure of Rapport: Why psychotheraputic engagement fails in the treatment of Asian clients. American Journal of Orthopsychiatry 55, 561–569 (1985)CrossRefGoogle Scholar
  5. 5.
    Fuchs, D.: Examiner familiarity effects on test performance: implications for training and practice. Topics in Early Childhood Special Education 7, 90–104 (1987)CrossRefGoogle Scholar
  6. 6.
    Burns, M.: Rapport and relationships: The basis of child care. Journal of Child Care 2, 47–57 (1984)Google Scholar
  7. 7.
    Tosa, N.: Neurobaby. In: ACM SIGGRAPH, pp. 212–213 (1993)Google Scholar
  8. 8.
    Breazeal, C., Aryananda, L.: Recognition of Affective Communicative Intent in Robot-Directed Speech. Autonomous Robots 12, 83–104 (2002)MATHCrossRefGoogle Scholar
  9. 9.
    Gratch, J., et al.: Virtual Rapport. In: Gratch, J., Young, M., Aylett, R., Ballin, D., Olivier, P. (eds.) IVA 2006. LNCS (LNAI), vol. 4133, Springer, Heidelberg (2006)Google Scholar
  10. 10.
    Cassell, J., Thórisson, K.R.: The Power of a Nod and a Glance: Envelope vs. Emotional Feedback in Animated Conversational Agents. International Journal of Applied Artificial Intelligence 13(4-5), 519–538 (1999)CrossRefGoogle Scholar
  11. 11.
    Brand, M.: Voice puppetry. In: ACM SIGGRAPH, ACM Press/Addison-Wesley Publishing Co., New York (1999)Google Scholar
  12. 12.
    Burleson, W., Picard, R.W.: Evidence for Gender Specific Approaches to the Development of Emotionally Intelligent Learning Companions. In: IEEE Intelligent Systems, Special issue on Intelligent Educational Systems (July/August 2007)Google Scholar
  13. 13.
    Bailenson, J.N., Yee, N.: Digital Chameleons: Automatic assimilation of nonverbal gestures in immersive virtual environments. Psychological Science 16, 814–819 (2005)CrossRefGoogle Scholar
  14. 14.
    Gratch, J., et al.: Can virtual humans be more engaging than real ones? In: 12th International Conference on Human-Computer Interaction, Beijing, China (2007)Google Scholar
  15. 15.
    Smith, J.: GrandChair: Conversational Collection of Family Stories, Media Lab. MIT, Cambridge (2000)Google Scholar
  16. 16.
    Ward, N., Tsukahara, W.: Prosodic features which cue back-channel responses in English and Japanese. Journal of Pragmatics 23, 1177–1207 (2000)CrossRefGoogle Scholar
  17. 17.
    Krumhuber, E., et al.: Temporal aspects of smiles influence employment decisions: A comparison of human and synthetic faces. In: 11th European Conference Facial Expressions: Measurement and Meaning, Durham, United Kingdom (2005)Google Scholar
  18. 18.
    Burleson, W.: Affective Learning Companions: Strategies for Empathetic Agents with Real-Time Multimodal Affective Sensing to Foster Meta-Cognitive and Meta-Affective Approaches to Learning, Motivation, and Perseverance. MIT Media Lab, Boston (unpublished PhD Thesis, 2006)Google Scholar
  19. 19.
    Manning, T.R., Goetz, E.T., Street, R.L.: Signal delay effects on rapport in telepsychiatry. CyberPsychology and Behavior 3(2), 119–127 (2000)CrossRefGoogle Scholar
  20. 20.
    Aronson, E., et al.: Methods of Research in Social Psychology, 2nd edn. McGraw-Hill, New York (1990)Google Scholar
  21. 21.
    Morency, L.-P., et al.: Contextual Recognition of Head Gestures. In: 7th International Conference on Multimodal Interactions, Torento, Italy (2005)Google Scholar
  22. 22.
    John, O.P., Srivastava, S.: The Big-Five trait taxonomy: History, measurement, and theoretical perspectives. Handbook of personality: Theory and research 2, 102–138 (1999)Google Scholar
  23. 23.
    Lennox, R.D., Wolfe, R.N.: Revision of the Self-Monitoring Scale. Journal of Personality and Social psychology 46, 1349–1364 (1984)CrossRefGoogle Scholar
  24. 24.
    Scheier, M.F., Carver, C.S.: The Self-Consciousness Scale: A revised version for use with general populations. Journal of Applied Social Psychology 15, 687–699 (1985)CrossRefGoogle Scholar
  25. 25.
    Cheek, J.M.: The Revised Cheek and Buss Shyness Scale (RCBS). Wellesley College, Wellesley MA (1983)Google Scholar
  26. 26.
    Thórisson, K.R.: Communicative Humanoids: A Computational Model of Psycho-Social Dialogue Skills. In: The Media Lab, Massachusetts Institute of Technology (1996)Google Scholar
  27. 27.
    Bavelas, J.B., Coates, L., Johnson, T.: Listeners as Co-narrators. Journal of Personality and Social Psychology 79(6), 941–952 (2000)CrossRefGoogle Scholar
  28. 28.
    Jondottir, G.R., et al.: Fluid Semantic Back-Channel Feedback in Dialogue: Challenges and Progress. In: Pelachaud, C., et al. (eds.) IVA 2007. LNCS, vol. 4722, pp. 154–160. Springer, Paris, France (2007)Google Scholar
  29. 29.
    Heylen, D.: Challenges Ahead. Head Movements and other social acts in conversation. In: AISB, Hertfordshire, UK (2005)Google Scholar
  30. 30.
    Cassell, J., Bickmore, T.: Negotiated Collusion: Modeling social language and its relationship effects in intelligent agents. User Modeling and Adaptive Interfaces 12, 1–44 (2002)CrossRefGoogle Scholar
  31. 31.
    Cassell, J., Gill, A., Tepper, P.: Conversational Coordination and Rapport. In: Proceedings of Workshop on Embodied Language Processing at ACL 2007, Prague, CZ (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Jonathan Gratch
    • 1
  • Ning Wang
    • 1
  • Jillian Gerten
    • 1
  • Edward Fast
    • 1
  • Robin Duffy
    • 1
  1. 1.University of Southern California, Institute for Creative Technologies, 13274 Fiji Way, Marina del Rey, CA, 90405USA

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