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Choosing when to interact with learners

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Published:13 January 2004Publication History

ABSTRACT

In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of human tutors coaching students in on-line learning tasks. It takes into account the focus of attention of the learner, the learner's current task, and expected time required to perform the task. A Bayesian network model combines evidence from eye gaze and interface actions to infer learner focus of attention. The attention model is combined with a plan recognizer to detect different types of learner difficulties such as confusion and indecision which warrant intervention. We plan to incorporate this capability into a pedagogical agent able to interact with learners in socially appropriate ways.

References

  1. Johnson, W.L., Rickel, J.W., and Lester, J.C. Animated pedagogical agents: Face-to-face interaction in interactive learning environments. International Journal of Artificial Intelligence in Education, 11, 47--78, 2000.Google ScholarGoogle Scholar
  2. Pearl, J., Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Mateo, CA: organ-Kaufmann, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. W. L. Johnson. Using Agent Technology to Improve the Quality of Web-Based Education. In N. Zhong and J. Liu (Eds.), Web Intelligence. Springer, Berlin, 2002.Google ScholarGoogle Scholar
  4. W. Lewis Johnson. Interaction Tactics for Socially Intelligent Pedagogical Agents. In Proceedings of the Intelligent User Interfaces, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Dessouky, M.M., Verma, S., Bailey, D., & Richel, J. A methodology for developing a Web-based factory simulator for manufacturing education. IEEE Transactions, 33, 167--180, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  6. T. del Soldato and B. Du Boulay. Implementation of motivational tactics in tutoring systems. Journal of Artificial Intelligence in Education, 6(4), 337--378, 199. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Choosing when to interact with learners

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        cover image ACM Conferences
        IUI '04: Proceedings of the 9th international conference on Intelligent user interfaces
        January 2004
        396 pages
        ISBN:1581138156
        DOI:10.1145/964442

        Copyright © 2004 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 13 January 2004

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        Acceptance Rates

        IUI '04 Paper Acceptance Rate72of140submissions,51%Overall Acceptance Rate746of2,811submissions,27%

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