RELEVANCE - BASED CONTEXT SHARING THROUGH INTERACTION PATTERNS ( Invited paper )

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.