AAAI Publications, Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence

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Capturing, Analyzing and Utilizing Context-Based Information About User Activities on Smartphones
Wolfgang Woerndl, Florian Schulze

Last modified: 2011-08-24

Abstract


In this paper, we present some of our work in mobile user modeling following the three steps in a general user modeling process. First, we outline a framework for mobile user activity logging. The framework integrates various hardware and software sensors on smartphones. Second, we have worked on learning relevant user locations for personal information management and recognizing user activities from sensor data to analyze the collected data. Third, the user model can be used to adapt mobile information access, for example in mobile recommender systems. The paper also outlines some requirements for an Activity Context Representation and Exchange Language from the perspective of mobile user modeling.

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