A bayesian approach to modelling users' information display preferences

  • Authors:
  • Beate Grawemeyer;Richard Cox

  • Affiliations:
  • Representation & Cognition Group, Department of Informatics, University of Sussex, Falmer, Brighton, UK;Representation & Cognition Group, Department of Informatics, University of Sussex, Falmer, Brighton, UK

  • Venue:
  • UM'05 Proceedings of the 10th international conference on User Modeling
  • Year:
  • 2005

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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.