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A Context-Sensitive Intervention Approach for Collaboration in Dynamic Environments

  • Conference paper
Modeling and Using Context (CONTEXT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8175))

Abstract

Complex design and engineering processes are characterized by dynamic requirements, like changing process goals or group constellations. To deal with these dynamics, a context-sensitive approach is needed to consider a changing environment and provides teams with the support they need. This paper describes research about a context-sensitive intervention approach to support collaboration in dynamic environments. Based on a review of existing approaches for context modeling in collaboration, a semantic model is presented to describe a collaboration process design as well as contextual process information. Using existing theories on collaboration performance, the paper discusses how the semantic model can be used to monitor group performance during collaboration. Thereby, a rule concept is introduced to derive interventions for dynamic collaboration processes and discusses their application to build new context-sensitive collaboration support systems.

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Authors and Affiliations

  1. Faculty of Technology, Policy and Management, Delft University of Technology, The Netherlands

    Stefan Werner Knoll & Stephan G. Lukosch

Authors
  1. Stefan Werner Knoll
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  2. Stephan G. Lukosch
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Editor information

Editors and Affiliations

  1. University Pierre and Marie Curie (UPMC), Place Jussieu 4, 75005, Paris, France

    Patrick Brézillon

  2. University of Roskilde, 4000, Roskilde, Denmark

    Patrick Blackburn

  3. LISTIC - Polytech’Savoie, University of Savoie, P.O. Box 80439, 74944, Annecy-le-Vieux Cedex, France

    Richard Dapoigny

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© 2013 Springer-Verlag Berlin Heidelberg

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Knoll, S.W., Lukosch, S.G. (2013). A Context-Sensitive Intervention Approach for Collaboration in Dynamic Environments. In: Brézillon, P., Blackburn, P., Dapoigny, R. (eds) Modeling and Using Context. CONTEXT 2013. Lecture Notes in Computer Science(), vol 8175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40972-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-40972-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40971-4

  • Online ISBN: 978-3-642-40972-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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