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A Bayesian Approach to Modelling Users’ Information Display Preferences

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User Modeling 2005 (UM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3538))

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Abstract

This paper describes the process by which we constructed a user model for ERST – an External Representation Selection Tutor – which recommends external representations (ERs) for particular database query task types based upon individual preferences, in order to enhance ER reasoning performance. The user model is based on experimental studies which examined the effect of background knowledge of ERs upon performance and preferences over different types of tasks.

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References

  1. Cox, R., Romero, P., du Boulay, B., Lutz, R.: A Cognitive Processing Perspective on Student Programmers’ ‘Graphicacy’. In: Diagrammatic Representation and Inference: Third International Conference, Diagrams 2004. Springer, Berlin (2004)

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Author information

Authors and Affiliations

  1. Representation & Cognition Group, Department of Informatics, University of Sussex, Falmer, Brighton, BN1 9QH, UK

    Beate Grawemeyer & Richard Cox

Authors
  1. Beate Grawemeyer
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  2. Richard Cox
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Università di Torino, Corso Svizzera 185, 10149, Torino, Italy

    Liliana Ardissono

  2. The SCRE Centre, University of Glasgow, 11 Eldon Street, P.O. Box, G3 6NH, Glasgow, United Kingdom

    Paul Brna

  3. Intelligent Computer Tutoring Group, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, P.O. Box, Christchurch, New Zealand

    Antonija Mitrovic

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© 2005 Springer-Verlag Berlin Heidelberg

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Grawemeyer, B., Cox, R. (2005). A Bayesian Approach to Modelling Users’ Information Display Preferences. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_29

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  • DOI: https://doi.org/10.1007/11527886_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27885-6

  • Online ISBN: 978-3-540-31878-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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