ICIC   25583
INSTITUTO DE CIENCIAS E INGENIERIA DE LA COMPUTACION
Unidad Ejecutora - UE
artículos
Título:
Interactions in Visualization
Autor/es:
GANUZA, MARÍA LUJÁN
Revista:
Journal of Computer Science & Technology
Editorial:
Red de Universidades con Carreras de Informática (Red Unci)
Referencias:
Lugar: La Plata; Año: 2018 vol. 18
ISSN:
1666-6046
Resumen:
Nowadays, the vertiginous growth of information generates volumes of data that are increasingly larger and difficult to understand and analyze. The contribution of visualization to the exploration and understanding of these large data sets is highly significant. Usually, different application domains require different visual representations, however, several of them share intermediate states of data, transformations, and/or require similar manipulations. These common denominators suggest the need for a visualization model that is consistent for all visualization areas and valid for different application domains. In this context, the Unified Visualization Model (UVM) is defined.The UVM is a model of states and transformations that represents the flow of the data throughout the visualization process. The properties of the visualization process determine that the user should be able to interact with the data and its intermediate representations, control the transformations and manipulate the visualizations. In this context, the definition of a taxonomyof the interactions in the visualization area is extremely necessary to achieve a better understanding of the interactions´ design space.The overall goal of this thesis is to define the interactions and a classification of interactions in visualization valid in different application domains.The defined interactions will be applied to the states and transformations of the visualization process. In this context, it is necessary to define a representation for the data sets involved in the process. This representation must be sufficiently flexible to support the different classifications of data, attributes, data sets and visual mappings present in the visualization literature.