Assessing the Effect of Visualizations on Bayesian Reasoning through Crowdsourcing

People have difficulty understanding statistical information and are unaware of their wrong judgments, particularly in Bayesian reasoning. Psychology studies suggest that the way Bayesian problems are represented can impact comprehension, but few visual designs have been evaluated and only populatio...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 18; H. 12; S. 2536 - 2545
Hauptverfasser:	Micallef, L., Dragicevic, P., Fekete, J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.12.2012 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	base rate fallacy Bayes Theorem Bayesian analysis Bayesian methods Bayesian reasoning Breast cancer Comprehension Computer Graphics Computer Science Crowdsourcing Euler diagrams Female glyphs Human-Computer Interaction Humans Judgments Male Mammography Populations probabilistic judgment Reasoning Representations Sociology Statistical analysis Texts Visual Visual Perception Visualization
ISSN:	1077-2626, 1941-0506, 1941-0506
Online-Zugang:	Volltext
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