Skip to Main content Skip to Navigation
Journal articles

Assessing the Effect of Visualizations on Bayesian Reasoning Through Crowdsourcing

Luana Micallef 1, 2 Pierre Dragicevic 2, * Jean-Daniel Fekete 2 
* Corresponding author
2 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : People have difficulty understanding statistical information and are unaware of their wrong judgements, 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 populations with a specific background have been involved. In this study, a textual and 6 visual representations for 3 classical problems were compared using a diverse subject pool through crowdsourcing. Visualizations included area-proportional Euler diagrams, glyph representations, and hybrid diagrams combining both. Our study failed to replicate previous findings in that subjects' accuracy was remarkably lower and visualizations exhibited no measurable benefit. A second experiment confirmed that simply adding a visualization to a textual Bayesian problem is of little help, even when the text refers to the visualization, but suggests that visualizations are more effective when the text is given without numerical values. We discuss our findings and the need for more such experiments to be carried out on heterogeneous populations of non-experts
Document type :
Journal articles
Complete list of metadata

Cited literature [57 references]  Display  Hide  Download
Contributor : Jean-Daniel Fekete Connect in order to contact the contributor
Submitted on : Monday, July 23, 2012 - 10:28:28 PM
Last modification on : Sunday, June 26, 2022 - 11:56:44 AM
Long-term archiving on: : Wednesday, October 24, 2012 - 2:55:23 AM


Files produced by the author(s)




Luana Micallef, Pierre Dragicevic, Jean-Daniel Fekete. Assessing the Effect of Visualizations on Bayesian Reasoning Through Crowdsourcing. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2012, 18 (12), pp.2536 - 2545. ⟨10.1109/TVCG.2012.199⟩. ⟨hal-00717503v2⟩



Record views


Files downloads