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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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 31; H. 1; S. 765 - 775
Hauptverfasser:	Wang, Arran Zeyu, Borland, David, Peck, Tabitha C., Wang, Wenyuan, Gotz, David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2025
Schlagworte:	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-Zugang:	Volltext
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