The role of machine gesturality in analyzing and viewing very large image collections

Maria Giulia DONDERO

KEYWORDS : computation, visualization, media visualization, enunciation, gesture.

ABSTRACT : In this article we analyze the relation between the computational work that underlies quantitative analyses of vast collections of images (Big Visual Data), as performed by Lev Manovich and the Cultural Analytics Lab in the field of Media Visualization, and our sensory-motor gesturality. Our objective is to understand what kind of “gestural simulacrum” is established in Media Visualization and to examine how these visualizations created by computational means generate a new kind of “gestural simulacrum” which is then made available to the observer/ person manipulating the final images. To this end we will call upon the theory of enunciation formulated by Greimassian and Post-Greimassian semiotics, which provides a framework to study the relation between human interpretation and machine work.

To read the abstract of the article in French, click on the link below :
The role of machine gesturality in analyzing and viewing very large image collections

Maria Giulia DONDERO

Fonds National de la Recherche Scientifique,
Université de Liège

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