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Prosodic Entrainment and Tutoring Dialogue Success

  • Jesse Thomason
  • Huy V. Nguyen
  • Diane Litman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7926)

Abstract

This study investigates the relationships between student entrainment to a tutoring dialogue system and learning. By finding the features of prosodic entrainment which correlate with learning, we hope to inform educational dialogue systems aiming to leverage entrainment. We propose a novel method to measure prosodic entrainment and find specific features which correlate with user learning. We also find differences in user entrainment with respect to tutor voice and user gender.

Keywords

Dialogue System Human Language Technology North American Chapter Tutor Dialogue Speak Dialogue System 
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.

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References

  1. 1.
    Forbes-Riley, K., Litman, D., Silliman, S., Tetreault, J.: Comparing Synthesized versus Pre-Recorded Tutor Speech in an Intelligent Tutoring Spoken Dialogue System. In: Proc. 19th International Florida Artificial Intelligence Research Society, Melbourne Beach, FL, pp. 509–514 (2006)Google Scholar
  2. 2.
    Lakin, J.L., Jefferies, V.E., Cheng, C.M., Chartrand, T.L.: The chameleon effect as social glue: Evidence for the evolutionary significance of nonconscious mimicry. Springer Journal of Nonverbal Behavior 27(3), 145–162 (2003)CrossRefGoogle Scholar
  3. 3.
    Levitan, R., Gravano, A., Willson, L., Benus, S., Hirschberg, J., Nenkova, A.: Acoustic-Prosodic Entrainment and Social Behavior. In: Proc. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), pp. 11–19. ACM, Montreal (2012)Google Scholar
  4. 4.
    Mitchell, C.M., Boyer, K.E., Lester, J.C.: From Strangers to Partners: Examining Convergence within a Longitudinal Study of Task-Oriented Dialogue. In: Proc. 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 94–98. ACM, Seoul (2012)Google Scholar
  5. 5.
    Pardo, J.S.: On phonetic convergence during conversational interaction. Journal of the Acoustical Society of America 119(4), 2382–2393 (2006)CrossRefGoogle Scholar
  6. 6.
    Raux, A., Eskenazi, M.: Non-Native Users in the Let’s Go!! Spoken Dialogue System: Dealing with Linguistic Mismatch. In: Proc. NAACL HLT, pp. 217–224 (2004)Google Scholar
  7. 7.
    Ward, A., Litman, D.: Dialog convergence and learning. In: Proc. 13th International Conference on Artificial Intelligence Education, Los Angeles, CA (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jesse Thomason
    • 1
  • Huy V. Nguyen
    • 1
  • Diane Litman
    • 1
  1. 1.University of PittsburghPittsburghUSA

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