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dc.contributor.authorVázquez Ingelmo, Andrea 
dc.contributor.authorGarcía Holgado, Alicia 
dc.contributor.authorGarcía Peñalvo, Francisco José 
dc.contributor.authorTherón Sánchez, Roberto
dc.identifier.citationVázquez-Ingelmo, A., García-Holgado, A., García-Peñalvo, F. J., & Therón, R. (2021). A Meta-modeling Approach to Take into Account Data Domain Characteristics and Relationships in Information Visualizations. In Á. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & A. M. Ramalho Correia (Eds.), Trends and Innovations in Information Systems and Technologies, WorldCIST 2021 (Vol. 2, pp. 570-580). Springer Nature.
dc.description.abstract[EN]Visual explanations are powerful means to convey information to large audiences. However, the design of information visualizations is a complex task, because a lot of factors are involved (the audience profile, the data domain, etc.). The complexity of this task can lead to poor designs that could make users reach wrong conclusions from the visualized data. This work illustrates the process of identifying features that could make an information visualization confusing or even misleading with the goal of arranging them into a meta-model. The metamodel provides a powerful resource to automatically generate information visualizations and dashboards that take into account not only the input data, but also the audience’s characteristics, the available data domain knowledge and even the data context.es_ES
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.subjectData visualizationes_ES
dc.subjectInformation visualizationes_ES
dc.subjectMisleading visualizationses_ES
dc.subjectFeature identificationes_ES
dc.titleA Meta-modeling Approach to Take into Account Data Domain Characteristics and Relationships in Information Visualizationses_ES
dc.subject.unesco1203.17 Informáticaes_ES

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Atribución-NoComercial-CompartirIgual 4.0 Internacional
Except where otherwise noted, this item's license is described as Atribución-NoComercial-CompartirIgual 4.0 Internacional