Abstract

GUIBOURDENCHE, Julien. Quantitative synthetic modelling of several years of activity: What is the relationship between meaning in situation and longitudinal complexity?. Laboreal [online]. 2020, vol.16, n.2, pp.1-28. ISSN 1646-5237.  https://doi.org/10.4000/laboreal.16776.

A recurring problem in longitudinal research on human activity is the lack of articulation between qualitative analytical models and quantitative synthetic models of the dynamic evolution. This absence creates difficulties in justifying the choices of analysis and synthesis and prevents a deductive approach to longitudinal dynamics. Within the framework of a 3-year longitudinal empirical and technological research on appropriation, this paper discusses the conditions of production and the usefulness of a quantitative synthetic model of the longitudinal complexity of individual activity, in conjunction with a qualitative analytical method. More than the mobilization of a single, pre-data model, the modeling work involves an active articulation between analytical model-methods (classical in activity analysis) and synthetic model-methods. We discuss the contributions and limits of this work with respect to activity analysis in French-language ergonomics and the complexity sciences more often mobilized in human factors.

Keywords : modelling; synthetic model; individual activity; longitudinal study; complexity.

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