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Sharing Working Experience : Using a Model of Collaborative Traces

Author

Listed:
  • Qiang Li

    (Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne] - UTC - Université de Technologie de Compiègne - CNRS - Centre National de la Recherche Scientifique)

  • Marie-Hélène Abel

    (Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne] - UTC - Université de Technologie de Compiègne - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Paul Barthès

    (Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne] - UTC - Université de Technologie de Compiègne - CNRS - Centre National de la Recherche Scientifique)

Abstract

Any activity in a computer-supported cooperative working environment produces a set of traces. In a collaborative working context, such traces may be very voluminous and heterogeneous. They reflect all the interactive actions among the actors themselves and between the actors and the system. This paper examines what is required to study traces in the context of a collaborative working environment (CWE). The objective is to propose a definition of the different kinds of traces and to build a model for classifying and analyzing the interactions with respect to both individual needs and group needs. The different types of traces can be divided into two categories: Collaborative Traces and Private Traces in a CWE. As a basis of our model, the Collaborative Trace represents the shared personal experiences in a group and can be filtered to improve the collaborative and personal work. For practical applications, we validate our model using the E-MEMORAe2.0 platform.

Suggested Citation

  • Qiang Li & Marie-Hélène Abel & Jean-Paul Barthès, 2012. "Sharing Working Experience : Using a Model of Collaborative Traces," Post-Print hal-00799002, HAL.
    • Handle: RePEc:hal:journl:hal-00799002
    as

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