Abstract
Human-centered and user-adaptive systems are at the heart of the Design for All and Ambient Intelligence concepts. Evidently, user models are necessary “ingredients” of such systems. We present a user model for navigation systems (mainly pedestrian), which is based on relevant human wayfinding and navigation theories. We represent this model through a Semantic Web ontology and show how it can be incorporated in an indoor navigation system called MNISIKLIS, which enables personalized path selection. Moreover, we propose a method for learning rules for the classification of users based on Inductive Logic Programming.
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Kikiras, P., Tsetsos, V., Papataxiarhis, V., Katsikas, T., Hadjiefthymiades, S. (2009). User Modeling for Pedestrian Navigation Services. In: Kuflik, T., Berkovsky, S., Carmagnola, F., Heckmann, D., Krüger, A. (eds) Advances in Ubiquitous User Modelling. Lecture Notes in Computer Science, vol 5830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05039-8_7
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