DocumentCode :
1312707
Title :
An Empirical Model of Slope Ratio Comparisons
Author :
Talbot, Justin ; Gerth, John ; Hanrahan, Pat
Volume :
18
Issue :
12
fYear :
2012
Firstpage :
2613
Lastpage :
2620
Abstract :
Comparing slopes is a fundamental graph reading task and the aspect ratio chosen for a plot influences how easy these comparisons are to make. According to Banking to 45°, a classic design guideline first proposed and studied by Cleveland et al., aspect ratios that center slopes around 45° minimize errors in visual judgments of slope ratios. This paper revisits this earlier work. Through exploratory pilot studies that expand Cleveland et al.´s experimental design, we develop an empirical model of slope ratio estimation that fits more extreme slope ratio judgments and two common slope ratio estimation strategies. We then run two experiments to validate our model. In the first, we show that our model fits more generally than the one proposed by Cleveland et al. and we find that, in general, slope ratio errors are not minimized around 45°. In the second experiment, we explore a novel hypothesis raised by our model: that visible baselines can substantially mitigate errors made in slope judgments. We conclude with an application of our model to aspect ratio selection.
Keywords :
data visualisation; graphs; Cleveland experimental design; classic design guideline; comparing slopes; empirical model; fundamental graph reading task; slope ratio comparisons; slope ratio estimation strategies; Approximation methods; Data models; Estimation; Market research; Predictive models; Slope analysis; Banking to 45 degrees; aspect ratio selection; orientation resolution; slope perception;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2012.196
Filename :
6327267
Link To Document :
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