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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Grawemeyer, B., & Cox, R. (2005). A bayesian approach to modelling users’ information display preferences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3538 LNAI, pp. 225–230). Springer Verlag. https://doi.org/10.1007/11527886_29
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