Literature DB >> 26356910

A Principled Way of Assessing Visualization Literacy.

Jeremy Boy, Ronald A Rensink, Enrico Bertini, Jean-Daniel Fekete.   

Abstract

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.

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Year:  2014        PMID: 26356910     DOI: 10.1109/TVCG.2014.2346984

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments.

Authors:  Katy Börner; Andreas Bueckle; Michael Ginda
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-05       Impact factor: 11.205

2.  A Meta-Model Integration for Supporting Knowledge Discovery in Specific Domains: A Case Study in Healthcare.

Authors:  Andrea Vázquez-Ingelmo; Alicia García-Holgado; Francisco José García-Peñalvo; Roberto Therón
Journal:  Sensors (Basel)       Date:  2020-07-22       Impact factor: 3.576

  2 in total

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