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Using Activity Theory to Model Context Awareness

  • Conference paper
Modeling and Retrieval of Context (MRC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3946))

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Abstract

One of the cornerstones of any intelligent entity is the ability to understand how occurrences in the surrounding world influence its own behaviour. Different states, or situations, in its environment should be taken into account when reasoning or acting. When dealing with different situations, context is the key element used to infer possible actions and information needs. The activities of the perceiving agent and other entities are arguably one of the most important features of a situation; this is equally true whether the agent is artificial or not.

This work proposes the use of Activity Theory to first model context and further on populate the model for assessing situations in a pervasive computing environment. Through the socio-technical perspective given by Activity Theory, the knowledge intensive context model, utilised in our ambient intelligent system, is designed.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway

    Anders Kofod-Petersen & Jörg Cassens

Authors
  1. Anders Kofod-Petersen
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  2. Jörg Cassens
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Editor information

Editors and Affiliations

  1. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany

    Thomas R. Roth-Berghofer

  2. Max-Planck Institut für Eisenforschung, Germany

    Stefan Schulz

  3. Computer Science Department, Indiana University, 47405, Bloomington, IN, U.S.A.

    David B. Leake

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© 2006 Springer-Verlag Berlin Heidelberg

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Kofod-Petersen, A., Cassens, J. (2006). Using Activity Theory to Model Context Awareness. In: Roth-Berghofer, T.R., Schulz, S., Leake, D.B. (eds) Modeling and Retrieval of Context. MRC 2005. Lecture Notes in Computer Science(), vol 3946. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11740674_1

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  • DOI: https://doi.org/10.1007/11740674_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33587-0

  • Online ISBN: 978-3-540-33588-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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