Non-invasive data acquisition for user modeling
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One of the most impending drawbacks of modern information technology and communication devices is the problem of user interfacing. The focus of the research community to tackle this problem is almost exclusively set to the concept of personalization based on user modeling procedures. The major difficulty of user modeling procedures is the required input data about the modeled user. Studies and practical experiences show that, on one hand, the efficiency of user modeling relies on acquired data about the user, and on the other hand, it is extremely irritating for user to constantly provide such data about her or his feelings and behavior. Therefore there is a need for non-intrusive and non-irritating data collection about the user. There are several approaches such us distributed sensors and real time analysis of video capturing the user’s behavior with the intention of identifying specific information about user’s behavior. The problem statement of noninvasive data acquisition for user modeling along with a typical system architecture will be presented in the paper. A set of unavoidable information processing techniques in this context will be introduced. The proposed approach will be further detailed by data acquisition based on a real time video analysis and higher order post processing of gathered user data. A major part of the paper is focused on post processing of user data in terms of geometrical, topological and logical analysis with the aim of achieving an effective user model.