A Multi-Level Typology of Abstract Visualization Tasks

By Matthew Brehmer, Tamara Munzner. IEEE Transactions on Visualization and Computer Graphics, 2013

830 citations recorded by the source corpus.

How researchers see this paper

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Science Mapping: A Systematic Review of the Literature (2017, background): “…researchers reflect on empirical evaluations of information visualization in various scenarios (Lam et al., 2012), revisit taxonomic organizations of abstract visualization tasks (Brehmer & Munzner, 2013), and synthesize and codify domain knowledge in the forms of textbooks (Munzner, 2014).”
A Framework for Considering Comprehensibility in Modeling (2016, neutral): “For data visualization, there has been considerable effort to develop abstract ways to consider user tasks (see [5, 29] for recent examples with extensive surveys).”
What Do We Talk About When We Talk About Dashboards? (2019, methodology): “More detailed usage analysis would expose the combination and composition of tasks (such is as used by Brehmer and Munzner [5] or Schulz et al. [53]).”
VLAT: Development of a Visualization Literacy Assessment Test (2017, methodology): “In order to do so, we considered (1) task taxonomies in Information Visualization [4] [11] [14] and (2) the associated dataset types of the 12 visualizations [37].”