2nd International ICST Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

Relevance-Based Context Sharing Through Interaction Patterns

  • @INPROCEEDINGS{10.1109/COLCOM.2006.361888,
        author={Robert Gombotz and Daniel Schall and Christoph Dorn and Schahram Dustdar},
        title={Relevance-Based Context Sharing Through Interaction Patterns},
        proceedings={2nd International ICST Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2007},
        month={5},
        keywords={Collaboration Collaborative work Condition monitoring Context awareness Floors Humans Information systems Mobile communication Paper technology Subscriptions},
        doi={10.1109/COLCOM.2006.361888}
    }
    
  • Robert Gombotz
    Daniel Schall
    Christoph Dorn
    Schahram Dustdar
    Year: 2007
    Relevance-Based Context Sharing Through Interaction Patterns
    COLLABORATECOM
    IEEE
    DOI: 10.1109/COLCOM.2006.361888
Robert Gombotz1,*, Daniel Schall1,*, Christoph Dorn1,*, Schahram Dustdar1,*
  • 1: Distributed Systems Group, Institute of Information Systems, Vienna University of Technology, Argentinierstrasse 8, 1040 Wien, Austria
*Contact email: gombotz@infosys.tuwien.ac.at, schall@infosys.tuwien.ac.at, dorn@infosys.tuwien.ac.at, dustdar@infosys.tuwien.ac.at

Abstract

In collaborative working environments (CWE), human interaction patterns represent reoccurring situations describing the sequence and type of interactions between individuals. We believe that such patterns provide information that may be used to improve human collaboration. In this paper we introduce interaction patterns to an existing context sharing platform used by distributed teams. We use these patterns to formulate rules that help determining the relevance of context information between users and that raise team awareness between interacting entities. These rules are integrated in an existing platform for context sharing between mobile users which allows us to demonstrate the practical applicability of our approach.