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OperationARIES!: Aliens, Spies and Research Methods

  • Conference paper
Affective Computing and Intelligent Interaction (ACII 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6975))

  • 4476 Accesses

Abstract

Operation ARIES! is an Intelligent Tutoring System that teaches research methodology in a game-like atmosphere. There is a dramatic storyline that engages and motivates students as they acquire both declarative knowledge and critical reasoning skills. ARIES has three modules in which students maintain mixed-initiative dialogue with multiple artificial agents. The internal architecture is similar to that of AutoTutor which uses natural language interaction in the tutorial dialogues. Learning as well as the engaging and motivating factors of ARIES are currently being investigated.

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References

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Author information

Authors and Affiliations

  1. Institute for Intelligent Systems, The University of Memphis, Innovation Drive, Memphis, TN, 38152, United States

    Carol M. Forsyth, Arthur C. Graesser & Zhiqiang Cai

  2. Psychology Department, Northern Illinois University, DeKalb, Illinois, 60115, United States

    Keith Millis

  3. Psychology Department, Claremont McKenna College, 500 E. 9th Street, Claremont, CA, 91711, United States

    Diane Halpern

Authors
  1. Carol M. Forsyth
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  2. Arthur C. Graesser
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  3. Keith Millis
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  4. Zhiqiang Cai
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  5. Diane Halpern
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Editor information

Editors and Affiliations

  1. University of Memphis, 202 Psychology Building, 38152, Memphis, TN, USA

    Sidney D’Mello  & Arthur Graesser  & 

  2. Technische Universität München, Arcisstraße 21, 80333, München, Germany

    Björn Schuller

  3. Laboratoire d’Informatique pour la Mécanique et les Sciences de l’Ingénieur (LIMSI-CNRS), Bâtiment 508, 91403, Orsay Cedex, France

    Jean-Claude Martin

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© 2011 Springer-Verlag Berlin Heidelberg

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Forsyth, C.M., Graesser, A.C., Millis, K., Cai, Z., Halpern, D. (2011). OperationARIES!: Aliens, Spies and Research Methods. In: D’Mello, S., Graesser, A., Schuller, B., Martin, JC. (eds) Affective Computing and Intelligent Interaction. ACII 2011. Lecture Notes in Computer Science, vol 6975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24571-8_37

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  • DOI: https://doi.org/10.1007/978-3-642-24571-8_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24570-1

  • Online ISBN: 978-3-642-24571-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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