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A Principled Way of Assessing Visualization Literacy

Authors :
Jean Daniel Fekete
Enrico Bertini
Ronald A. Rensink
Jeremy Boy
Analysis and Visualization (AVIZ)
Laboratoire de Recherche en Informatique (LRI)
Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Télécom ParisTech
École National Supérieure des Arts Décoratifs [Paris] (EnsadLab)
Computer Science Department (UBC-Computer Science)
University of British Columbia (UBC)
Department of Computer Science and Engineering
New York University [New York] (NYU)
NYU System (NYU)-NYU System (NYU)
Source :
IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, 2014, 20 (12), pp.10. ⟨10.1109/TVCG.2014.2346984⟩, IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2014, 20 (12), pp.10. ⟨10.1109/TVCG.2014.2346984⟩
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

International audience; We describe a method for assessing the visualization literacy (VL) of a user. Assessing how well people understand visualizations has great value for research (e. g., to avoid confounds), for design (e. g., to best determine the capabilities of an audience), for teaching (e. g., to assess the level of new students), and for recruiting (e. g., to assess the level of interviewees). This paper proposes a method for assessing VL based on Item Response Theory. It describes the design and evaluation of two VL tests for line graphs, and presents the extension of the method to bar charts and scatterplots. Finally, it discusses the reimplementation of these tests for fast, effective, and scalable web-based use.

Details

Language :
English
ISSN :
10772626
Database :
OpenAIRE
Journal :
IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, 2014, 20 (12), pp.10. ⟨10.1109/TVCG.2014.2346984⟩, IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2014, 20 (12), pp.10. ⟨10.1109/TVCG.2014.2346984⟩
Accession number :
edsair.doi.dedup.....2a2f7ebf8a9eb1b238a7db267e7e2058
Full Text :
https://doi.org/10.1109/TVCG.2014.2346984⟩