Abstract
This paper presents a system architecture to bridge the gap between the users computing activity in collaborative platforms and the analysis of this activity which is carried out by researchers in human and social sciences. This research work tends to highlight the capacity of a computer-supported observation station, based on a theoretical model called TBS (Trace-Based System), to assist researchers automatically in their activity of analysis using a high abstraction level. We present the modules of a prototype of an observation station called CARTE (Collection, activity Analysis and Regulation based on Traces Enriched) which enable the interoperability between the collaborative platforms, where the users produce raw traces and the analysis environments, where the researchers study traces of a very high abstraction level.
This work is part of the cluster ISLE project, supported by the "Region Rhone-Alpes" in France.
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Courtin, C., Talbot, S. (2009). Automatic Analysis Assistant for Studies of Computer-Supported Human Interactions. In: Cress, U., Dimitrova, V., Specht, M. (eds) Learning in the Synergy of Multiple Disciplines. EC-TEL 2009. Lecture Notes in Computer Science, vol 5794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04636-0_52
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DOI: https://doi.org/10.1007/978-3-642-04636-0_52
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