A Salience-based Quality Metric for Visualization

Salience detection is a principle mechanism to facilitate visual attention. A good visualization guides the observer's attention to the relevant aspects of the representation. Hence, the distribution of salience over a visualization image is an essential measure of the quality of the visualizat...

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Published in:Computer graphics forum 2010-06, Vol.29 (3), p.1183-1192
Main Authors: Jänicke, H., Chen, M.
Format: Article
Language:English
Subjects:
C (programming language)
Computation
Computer graphics
Data visualization
Flow visualization
I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation
Measurement
Quality
Representations
Studies
Visual
Visualization
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description Salience detection is a principle mechanism to facilitate visual attention. A good visualization guides the observer's attention to the relevant aspects of the representation. Hence, the distribution of salience over a visualization image is an essential measure of the quality of the visualization. We describe a method for computing such a metric for a visualization image in the context of a given dataset. We show how this technique can be used to analyze a visualization's salience, improve an existing visualization, and choose the best representation from a set of alternatives. The usefulness of this proposed metric is illustrated using examples from information visualization, volume visualization and flow visualization.
doi_str_mv 10.1111/j.1467-8659.2009.01667.x
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subjects C (programming language)
Computation
Computer graphics
Data visualization
Flow visualization
I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation
Measurement
Quality
Representations
Studies
Visual
Visualization
title A Salience-based Quality Metric for Visualization
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