Causal Priors and Their Influence on Judgements of Causality in Visualized Data

“Correlation does not imply causation” is a famous mantra in statistical and visual analysis. However, consumers of visualizations often draw causal conclusions when only correlations between variables are shown. In this paper, we investigate factors that contribute to causal relationships users per...

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Vydáno v:	IEEE transactions on visualization and computer graphics Ročník 31; číslo 1; s. 765 - 775
Hlavní autoři:	Wang, Arran Zeyu, Borland, David, Peck, Tabitha C., Wang, Wenyuan, Gotz, David
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.01.2025
Témata:	Association Bars Causal inference Causal prior Causality Cause effect analysis Cognition Correlation Data visualization Guidelines Perception and cognition Visualization
ISSN:	1077-2626, 1941-0506, 1941-0506
On-line přístup:	Získat plný text
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