Abstract
User centricity required by ubiquitous computing is about making services and information be prepared and delivered in the perspective of users rather than system elements. Task-oriented computing supports user centricity by representing users’ goals in tasks. It bridges the gap between tasks and available services. This paper proposes a semantically-based generic model for describing tasks in ubiquitous computing environments. This model is used by a task selection algorithm that considers the context information of a user and the surrounding environment. Additionally, this paper proposes a pattern-based task reconfiguration algorithm. The algorithms are illustrated by a demo application conducted in our test bed, and by other examples of tasks selected under diverse situations. Evaluation results show a reasonable time overhead for the task selection algorithm.
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Jimenez-Molina, A., Kim, JS., Koo, HM., Kang, BS., Ko, IY. (2009). A Semantically-Based Task Model and Selection Mechanism in Ubiquitous Computing Environments. In: Velásquez, J.D., RĂos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_103
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DOI: https://doi.org/10.1007/978-3-642-04592-9_103
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