Improving Bayesian Reasoning : The Effects of Phrasing, Visualization, and Spatial Ability

Decades of research have repeatedly shown that people perform poorly at estimating and understanding conditional probabilities that are inherent in Bayesian reasoning problems. Yet in the medical domain, both physicians and patients make daily, life-critical judgments based on conditional probabilit...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 22(2016), 1 vom: 18. Jan., Seite 529-38
1. Verfasser: Ottley, Alvitta (VerfasserIn)
Weitere Verfasser: Peck, Evan M, Harrison, Lane T, Afergan, Daniel, Ziemkiewicz, Caroline, Taylor, Holly A, Han, Paul K J, Chang, Remco
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S.
LEADER 01000naa a22002652 4500
001 NLM25294691X
003 DE-627
005 20231224165204.0
007 cr uuu---uuuuu
008 231224s2016 xx |||||o 00| ||eng c
024 7 |a 10.1109/TVCG.2015.2467758  |2 doi 
028 5 2 |a pubmed24n0843.xml 
035 |a (DE-627)NLM25294691X 
035 |a (NLM)26390491 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Ottley, Alvitta  |e verfasserin  |4 aut 
245 1 0 |a Improving Bayesian Reasoning  |b The Effects of Phrasing, Visualization, and Spatial Ability 
264 1 |c 2016 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 18.08.2016 
500 |a Date Revised 04.11.2015 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a Decades of research have repeatedly shown that people perform poorly at estimating and understanding conditional probabilities that are inherent in Bayesian reasoning problems. Yet in the medical domain, both physicians and patients make daily, life-critical judgments based on conditional probability. Although there have been a number of attempts to develop more effective ways to facilitate Bayesian reasoning, reports of these findings tend to be inconsistent and sometimes even contradictory. For instance, the reported accuracies for individuals being able to correctly estimate conditional probability range from 6% to 62%. In this work, we show that problem representation can significantly affect accuracies. By controlling the amount of information presented to the user, we demonstrate how text and visualization designs can increase overall accuracies to as high as 77%. Additionally, we found that for users with high spatial ability, our designs can further improve their accuracies to as high as 100%. By and large, our findings provide explanations for the inconsistent reports on accuracy in Bayesian reasoning tasks and show a significant improvement over existing methods. We believe that these findings can have immediate impact on risk communication in health-related fields 
650 4 |a Journal Article 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
700 1 |a Peck, Evan M  |e verfasserin  |4 aut 
700 1 |a Harrison, Lane T  |e verfasserin  |4 aut 
700 1 |a Afergan, Daniel  |e verfasserin  |4 aut 
700 1 |a Ziemkiewicz, Caroline  |e verfasserin  |4 aut 
700 1 |a Taylor, Holly A  |e verfasserin  |4 aut 
700 1 |a Han, Paul K J  |e verfasserin  |4 aut 
700 1 |a Chang, Remco  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on visualization and computer graphics  |d 1996  |g 22(2016), 1 vom: 18. Jan., Seite 529-38  |w (DE-627)NLM098269445  |x 1941-0506  |7 nnns 
773 1 8 |g volume:22  |g year:2016  |g number:1  |g day:18  |g month:01  |g pages:529-38 
856 4 0 |u http://dx.doi.org/10.1109/TVCG.2015.2467758  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 22  |j 2016  |e 1  |b 18  |c 01  |h 529-38