Using Close Reading as a Method for Evaluating Visualizations

Bares, Annie; Zeller, Stephanie; Jackson, C. Loring; Keefe, Daniel F.; Samsel, Francesca

doi:10.1109/beliv51497.2020.00011

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…At the other end of the human‐computer agency spectrum are theories that provide human‐centered evaluation tools based on heuristic or critical under‐pinnings. Some of these are predicated on personal or philosophical reflection [DFCC13, BBD20, DK16, VFR12, BZJ ∗ 20] which provide useful means for prompting the design process, but do not include testable assertions by which to judge quality. Adar and Lee [AL20] utilize learning objectives as a way to evaluate communicative visualizations, which while providing a definite heuristic by which to evaluate, does not help the designer actually conduct that evaluation.…”

Section: Related Workmentioning

confidence: 99%

What are Table Cartograms Good for Anyway? An Algebraic Analysis

McNutt

2021

Computer Graphics Forum

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Unfamiliar or esoteric visual forms arise in many areas of visualization. While such forms can be intriguing, it can be unclear how to make effective use of them without long periods of practice or costly user studies. In this work we analyze the table cartogram—a graphic which visualizes tabular data by bringing the areas of a grid of quadrilaterals into correspondence with the input data, like a heat map that has been “area‐ed” rather than colored. Despite having existed for several years, little is known about its appropriate usage. We mend this gap by using Algebraic Visualization Design to show that they are best suited to relatively small tables with ordinal axes for some comparison and outlier identification tasks. In doing so we demonstrate a discount theory‐based analysis that can be used to cheaply determine best practices for unknown visualizations.

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Section: Related Workmentioning

confidence: 99%