DocumentCode
53870
Title
Using Concrete Scales: A Practical Framework for Effective Visual Depiction of Complex Measures
Author
Chevalier, Fanny ; Vuillemot, Romain ; Gali, Guia
Author_Institution
Univ. of Toronto & OCAD Univ., Toronto, ON, Canada
Volume
19
Issue
12
fYear
2013
fDate
Dec. 2013
Firstpage
2426
Lastpage
2435
Abstract
From financial statistics to nutritional values, we are frequently exposed to quantitative information expressed in measures of either extreme magnitudes or unfamiliar units, or both. A common practice used to comprehend such complex measures is to relate, re-express, and compare them through visual depictions using magnitudes and units that are easier to grasp. Through this practice, we create a new graphic composition that we refer to as a concrete scale. To the best of our knowledge, there are no design guidelines that exist for concrete scales despite their common use in communication, educational, and decision-making settings. We attempt to fill this void by introducing a novel framework that would serve as a practical guide for their analysis and design. Informed by a thorough analysis of graphic compositions involving complex measures and an extensive literature review of scale cognition mechanisms, our framework outlines the design space of various measure relations-specifically relations involving the re-expression of complex measures to more familiar concepts-and their visual representations as graphic compositions.
Keywords
cognition; data visualisation; communication settings; complex measures; concrete scales; decision-making settings; educational settings; extreme magnitude measures; graphic composition; graphic compositions; quantitative information; scale cognition mechanisms; unfamiliar unit measures; visual depiction; visual depictions; visual representations; Complexity theory; Computer graphics; Measurement; Complexity theory; Computer graphics; Concrete scale; Measurement; graphic composition; scale cognition; visual comparison; visual notation; Algorithms; Computer Graphics; Decision Making; Decision Support Techniques; Reproducibility of Results; Sensitivity and Specificity; User-Computer Interface;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2013.210
Filename
6634143
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