Abstract
This paper examines the problem of uncertainty due to instrumentation in user modeling systems within spatial domains. We consider the uncertainty of inferring a user’s trajectory within a physical space combined with the uncertainty due to inaccuracies in measuring a user’s position. A framework for modeling both types of uncertainties is presented, and applied to a real-world case study from the museum domain. Our results show that this framework may be used to investigate the effects of layout in a gallery, and to explore the degradation in the predictive performance of user models due to measurement error. This information in turn may be used to guide the curation of the space, and the selection of sensing technologies prior to instrumenting the space.
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Schmidt, D.F., Zukerman, I., Albrecht, D.W. (2009). Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains. In: Houben, GJ., McCalla, G., Pianesi, F., Zancanaro, M. (eds) User Modeling, Adaptation, and Personalization. UMAP 2009. Lecture Notes in Computer Science, vol 5535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02247-0_21
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DOI: https://doi.org/10.1007/978-3-642-02247-0_21
Publisher Name: Springer, Berlin, Heidelberg
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