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Profiling and Matchmaking Strategies in Support of Opportunistic Collaboration

  • Adriana Vivacqua
  • Melfry Moreno
  • Jano de Souza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2888)

Abstract

With the recent advances in communications technologies and decentralization of work practices, there has been an increase in distributed, remote, computerized work environments. In most systems, individuals work from their personal computer terminals, unaware of their peers. With the change from a physical to a virtual environment, opportunities for collaboration often go unnoticed. In this paper, we focus on how to bring unplanned collaboration about. We present an agent framework to encourage and support unplanned cooperation between people. Agents build user profiles through analysis of their documents and work environment and match them according to their interests, activities and opportunities for collaboration. By matching users’ work contexts, needs and resources, we expect to uncover opportunities for collaboration, filter down the information to be provided and determine the moment and recipients of the information. The notification of these opportunities should lead to more frequent collaboration between users. Resource sharing is facilitated in the hopes of stimulating collaboration.

Keywords

Virtual Environment Cooperative Work Work Context Informal Communication Computer Support Cooperative Work 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Adriana Vivacqua
    • 1
  • Melfry Moreno
    • 1
  • Jano de Souza
    • 1
    • 2
  1. 1.COPPE/UFRJ – Graduate School of EngineeringFederal University of Rio de JaneiroRio de JaneiroBrazil
  2. 2.Institute of MathematicsFederal University of Rio de JaneiroRio de JaneiroBrazil

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