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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Bibliographic Details

Published in:	IEEE transactions on visualization and computer graphics Vol. 31; no. 1; pp. 765 - 775
Main Authors:	Wang, Arran Zeyu, Borland, David, Peck, Tabitha C., Wang, Wenyuan, Gotz, David
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2025
Subjects:	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
Online Access:	Get full text
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