A model for managing and capitalising on the analyses of traces of activity in collaborative interaction

We present our three main results in adressing the problem of assisting the socio-cognitive analysis of human interaction. First, we propose a description of the process of analysis of such data, as well as a generic artefact which covers a large number of the analytic artefacts we have observed and which we call a replayable. Second, we present a study and a modelling of replayables, and describe the four fundamental operations which can be applied to them: synchronisation, visualisation, transformation and enrichment. Finally, we describe the implementation of this model in an environment that assists analysis through the manipulation of replayables, which we evaluate in real-life research situations. Tatiana (http://code.google.com/p/tatiana), the resulting software environment, is based on these four operations and integrates numerous possibilities for extending these operations to adapt to new kinds of analysis while staying within the analytic framework afforded by replayables.

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Source https://theses.hal.science/tel-00795984
Author Dyke, Gregory
Maintainer CCSD
Last Updated May 13, 2026, 20:19 (UTC)
Created May 13, 2026, 20:19 (UTC)
Identifier NNT: 2009EMSE0041
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Département Réseaux, Information, Multimédia (RIM-ENSMSE) ; École des Mines de Saint-Étienne (Mines Saint-Étienne MSE) ; Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre G2I
creator Dyke, Gregory
date 2009-12-07T00:00:00
harvest_object_id 9b3a7e14-4b67-49d1-81cd-c4f14d56a9f3
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-01-19T00:00:00
set_spec type:THESE