Thomas Weyrath

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Bayesian networks have been successfully applied to the assessment of user properties which remain unchanged during a session. However, many properties of a person vary over time, thus raising new questions of network modeling. In this paperwe characterize different types of dependencies that occur in networks that deal with the modeling of temporally(More)
Recent advances in user modeling technology have brought within reach the goal of having systems adapt to temporary limitations of the user’s available time and working memory capacity. We first summarize empirical research by ourselves and others that sheds light on the causes and consequences of these (continually changing) resource limitations. We then(More)
Situationally determined limitations in users’ “resources” (e.g., time and working memory) constitute an increasingly important challenge to adaptive interfaces—one which does not yield easily to straightforward solutions. This article gives an overview of a research program that emphasizes empirically based understanding of this problem and the use of an(More)
Recent advances in user modeling technology have brought within reach the goal of having systems adapt to temporary limitations of the user,s available time and working memory capacity. We first summarize empirical research by ourselves and others that sheds light on the causes and consequences of these (continually changing) resource limitations. We then(More)
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