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Resolving knowledge discrepancies in situation‐aware systems

Ulrich Meissen (Fraunhofer Institute for Software and Systems Engineering, Mollstraβe 1, D‐10178 Berlin, Germany)
Stefan Pfennigschmidt (Fraunhofer Institute for Software and Systems Engineering, Mollstraβe 1, D‐10178 Berlin, Germany)
Agnés Voisard (Fraunhofer Institute for Software and Systems Engineering, Mollstraβe 1, 10178 Berlin, Germany and Institute of Computer Science, Freie Universität Berlin, Takustraβe 9, D‐14195 Berlin, Germany)
Tjark Wahnfried (Lufthansa Systems Berlin GmbH, Fritschestraβe 27‐28, D‐10585 Berlin, Germany)

International Journal of Pervasive Computing and Communications

ISSN: 1742-7371

Article publication date: 1 November 2005

209

Abstract

Demand‐orientation is of crucial importance in mobile and pervasive information services in order to ensure the delivery of the right information at the right time and at the right place. In the past years, increasing attention has been devoted to the notion of personalized services that take the situation of the user into account. The trade‐off is to ensure appropriate information supply while preventing information overload. Comparing situations predicted by the system with the expectations of a user yields information about “so‐farunexpected” changes the user should be informed about. This paper describes an approach to identify and to resolve these knowledge discrepancies by informing the user about them in order to support his or her situation‐awareness. Our approach is illustrated in two applications.

Keywords

Citation

Meissen, U., Pfennigschmidt, S., Voisard, A. and Wahnfried, T. (2005), "Resolving knowledge discrepancies in situation‐aware systems", International Journal of Pervasive Computing and Communications, Vol. 1 No. 4, pp. 327-336. https://doi.org/10.1108/17427370580000135

Publisher

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Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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