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Persuasive Dialogues in an Intelligent Tutoring System for Medical Diagnosis

  • Conference paper
Intelligent Tutoring Systems (ITS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6095))

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Abstract

Being able to argue with a student to convince her or him about the rationale of tutoring hints is an important component of pedagogy. In this paper we present an argumentation framework for implementing persuasive tutoring dialogues. The entire interaction between the student and the tutoring system is seen as an argumentation. The tutoring system and the student can settle conflicts arising during their argumentation by accepting, challenging, or questioning each other’s arguments or withdrawing their own arguments. Pedagogic strategies guide the tutoring system selecting arguments aimed at convincing the student. We illustrate this framework with a tutoring system for medical diagnosis using a normative expert model.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada

    Amin Rahati & Froduald Kabanza

Authors
  1. Amin Rahati
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  2. Froduald Kabanza
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Editor information

Editors and Affiliations

  1. Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Vincent Aleven  & Jack Mostow  & 

  2. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

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Rahati, A., Kabanza, F. (2010). Persuasive Dialogues in an Intelligent Tutoring System for Medical Diagnosis. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_6

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  • DOI: https://doi.org/10.1007/978-3-642-13437-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13436-4

  • Online ISBN: 978-3-642-13437-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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