Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains

Authors:
Daniel F. Schmidt;Ingrid Zukerman;David W. Albrecht
Affiliations:
Faculty of Information Technology, Monash University, Clayton, Australia 3800;Faculty of Information Technology, Monash University, Clayton, Australia 3800;Faculty of Information Technology, Monash University, Clayton, Australia 3800
Venue:
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Year:
2009

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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.