Titlebook: UM99 User Modeling; Proceedings of the S Judy Kay Conference proceedings 1999 Springer-Verlag Wien 1999 Dialog Management.Hypermedia Naviga

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Understanding Subjectivity: An Interactionist View nature of the human brain: plasticity and absence of monolithic control. Instead, we suggest to focus not on the modeling of the primary mechanism that explains a user’s response but on the mechanisms through which technology can mediate as complex information as subjective responses. Indeed the on

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The Application of User Modeling Techniques to Reason about the Human Contribution to Major Accidentrs learn about human ‘error’ and systems ‘failure’. These documents do, however, suffer from a number of limitations. In particular, it can be difficult for readers to trace the ways in which particular individuals are influenced by, and in turn help to influence, their colleagues’ behavior. This pa

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Using Plan Recognition in Human-Computer Collaborationch is tractable by virtue of exploiting properties of the collaborative setting, namely: the focus of attention, the use of partially elaborated hierarchical plans, and the possibility of asking for clarification. We demonstrate how the addition of our plan recognition algorithm to an implemented co

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Modeling the Social Practices of Users in Internet Communitiesies. The majority of these communities are open and new users may join who have met few, if any, of the other list members, and come to know them primarily through email discourse. However, new members joining the discourse of an established group may have difficulty calibrating their constructs wit

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User Lenses — Achieving 100% Precision on Frequently Asked Questions queries in information retrieval systems. It is trained automatically via relevance data provided by the user. Experiments verify the lens can improve performance on training data while not degrading test data performance, and that larger lenses result in nearly perfect performance on the training

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A Hybrid User Model for News Story Classificationly adapts to the user’s preferences and interests. In this paper we focus on the system’s user modeling component. First, we motivate the use of a multi-strategy machine learning approach that allows for the induction of user models that consist of separate models for long-term and short-term intere