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Theses

Proposition de modes de visualisation et d'interaction innovants pour les grandes masses de données et/ou les données structurées complexes en prenant en compte les limitations perceptives des utilisateurs

Abstract : As a result of the improvement of data capture and storage, recent years have seen the amount of data to be processed increase dramatically. Many studies, ranging from automatic processing to information visualization, have been performed, but some areas are still too specific to take advantage of. This is the case of ELectromagnetic INTelligence(ELINT). This domain does not only deal with a huge amount of data but also has to handle complex data and usage as well as populations of users with less and less experience. In this thesis we focus on the use of existing and new technologies applied to visualization to propose solutions to the combination of issues such as huge amount and complex data. We begin by presenting an analysis of the ELINT field which made it possible to extract the issues that it must faces. Then, we focus on the visual solutions handling the combinations of such issues but the existing work do not contain directly such solutions. Therefore, we focus on the description of visual issues and propose a characterization of these issues. This characterization allows us to describe the existing representations and to build a recommendation tool based on how the existing work solves the issues. Finally, we focus on identifying new metaphors to complete the existing work and propose an immersive representation to solve the issues of ELINT. These contributions make it possible to analyze and use the existing and deepen the use of immersive representations for the visualization of information.
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https://tel.archives-ouvertes.fr/tel-01880977
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Submitted on : Tuesday, September 25, 2018 - 1:20:07 PM
Last modification on : Monday, April 4, 2022 - 9:28:19 AM
Long-term archiving on: : Wednesday, December 26, 2018 - 3:33:42 PM

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2018IMTA068_Cantu-Alma.pdf
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  • HAL Id : tel-01880977, version 1

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Alma Cantu. Proposition de modes de visualisation et d'interaction innovants pour les grandes masses de données et/ou les données structurées complexes en prenant en compte les limitations perceptives des utilisateurs. Interface homme-machine [cs.HC]. Ecole nationale supérieure Mines-Télécom Atlantique, 2018. Français. ⟨NNT : 2018IMTA0068⟩. ⟨tel-01880977⟩

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