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
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.
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