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Mimèsis du flux, exploration des potentialités narratives des flux de données

Abstract : Sometimes called stream art or data art, digital art seizes data streams as its raw materials. Choosing a path of creative research, this thesis explores the story-telling potentialities of data streams. Structured around technical, social, semiotic and aesthetic approaches, its thinking draws on various fields of study : information and communication sciences, but also computer sciences, cognitive sciences, philosophy, sociology and narratology. The work Lucette, Gare de Clichy was especially designed to answer the researched question. The conformation of the work allowed for two different versions of it : a screen version and a performance. It is studied in all its stages, from its creation process to the public's response to it. Jonathan Fletcher Moore's installation, ArtificialKilling Machine, is also analyzed. First, our object of research - stories made from a real-time data stream - is defined and the concept of data mills is crafted to refer to this type of work. Then four hypothesis are formulated and individually verified. If data mills are to be able to form a narrative representation, they must free themselves from the logic of action. Thus can fiction become powered by reality. The metaphor that links the data originated in reality and the crafted fiction generates in the viewer a shifting of focus between what is compared and what compares. This switching-metaphor has the power to reinforce the meaning it carries. Data mills are therefore able to convey the contingency of life as experienced by a vulnerable individual, tossed back and forth between objective and subjective time.
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Submitted on : Friday, November 6, 2020 - 9:46:31 AM
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  • HAL Id : tel-02991589, version 1



Françoise Chambefort. Mimèsis du flux, exploration des potentialités narratives des flux de données. Sciences de l'information et de la communication. Université Bourgogne Franche-Comté, 2020. Français. ⟨NNT : 2020UBFCC004⟩. ⟨tel-02991589⟩



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