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Robotic learning companions for early language development

Published:09 December 2013Publication History

ABSTRACT

Research from the past two decades indicates that preschool is a critical time for children's oral language and vocabulary development, which in turn is a primary predictor of later academic success. However, given the inherently social nature of language learning, it is difficult to develop scalable interventions for young children. Here, we present one solution in the form of robotic learning companions, using the DragonBot platform. Designed as interactive, social characters, these robots combine the flexibility and personalization afforded by educational software with a crucial social context, as peers and conversation partners. They can supplement teachers and caregivers, allowing remote operation as well as the potential for autonomously participating with children in language learning activities. Our aim is to demonstrate the efficacy of the DragonBot platform as an engaging, social, learning companion.

References

  1. Freed, N. A. 2012. "This is the fluffy robot that only speaks French": language use between preschoolers, their families, and a social robot while sharing virtual toys. Master's Thesis. Massachusetts Institute of Technology.Google ScholarGoogle Scholar
  2. Hart, B. and Risley, T. R. 1995. Meaningful differences in the everyday experience of young American children. Baltimore, MD: Paul H Brookes Publishing.Google ScholarGoogle Scholar
  3. Kuhl, P. K. 2007. Is speech learning "gated" by the social brain? Developmental science, 10, 1, 110--120.Google ScholarGoogle Scholar
  4. Movellan, J., Eckhardt, M., Virnes, M. and Rodriguez, A. 2009. Sociable robot improves toddler vocabulary skills. In Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction. (La Jolla, CA, March 09--13, 2009). ACM, New York, NY, 307--308. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Naigles, L. R. and Mayeux, L. 2001. Television as incidental language teacher. In Handbook of children and the media, D. G. Singer and J. L. Singer, Eds. Sage Publications, Inc., Thousand Oaks, CA, 135--152.Google ScholarGoogle Scholar
  6. Setapen, A. M. 2012. Creating robotic characters for long-term interaction. Master's Thesis. Massachusetts Institute of Technology.Google ScholarGoogle Scholar
  7. Snow, C. E., Porche, M. V., Tabors, P. O. and Harris, S. R. 2007. Is literacy enough? Pathways to academic success for adolescents. Baltimore, MD: Paul H Brookes Publishing.Google ScholarGoogle Scholar
  8. Tanaka, F. and Matsuzoe, S. 2012. Children teach a care-receiving robot to promote their learning: Field experiments in a classroom for vocabulary learning. Journal of Human-Robot Interaction, 1, 1.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Thomas, F. and Johnson, O. 1981. Disney Animation: the Illusion of Life. Walt Disney Productions.Google ScholarGoogle Scholar

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  1. Robotic learning companions for early language development

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            • Published in

              cover image ACM Conferences
              ICMI '13: Proceedings of the 15th ACM on International conference on multimodal interaction
              December 2013
              630 pages
              ISBN:9781450321297
              DOI:10.1145/2522848

              Copyright © 2013 Owner/Author

              Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 9 December 2013

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              Acceptance Rates

              ICMI '13 Paper Acceptance Rate49of133submissions,37%Overall Acceptance Rate453of1,080submissions,42%

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