A Principled Way of Assessing Visualization Literacy
Top Cited Papers
- 6 November 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Visualization and Computer Graphics
- Vol. 20 (12), 1963-1972
- https://doi.org/10.1109/tvcg.2014.2346984
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.Funding Information
- Google Research Award
This publication has 18 references indexed in Scilit:
- Comparing averages in time series dataPublished by Association for Computing Machinery (ACM) ,2012
- A Study on Dual-Scale Data ChartsIEEE Transactions on Visualization and Computer Graphics, 2011
- The Perception of Correlation in ScatterplotsComputer Graphics Forum, 2010
- Shedding light on the graph schema: Perceptual features versus invariant structurePsychonomic Bulletin & Review, 2008
- ltm: AnRPackage for Latent Variable Modeling and Item Response Theory AnalysesJournal of Statistical Software, 2006
- THE INTERNATIONAL ADULT LITERACY SURVEY (IALS): UNDERSTANDING WHAT WAS MEASUREDETS Research Report Series, 2001
- Correlation estimates as perceptual judgments.Journal of Experimental Psychology: Applied, 1997
- “Reading” scientific diagrams: Characterising components of skilled performanceResearch in Science Education, 1988
- A Test of Graphicacy in ChildrenApplied Psychological Measurement, 1980
- Identification of visual correlational scatterplots.Journal of Experimental Psychology, 1960