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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ottley, A. Peck, E.M. Harrison, L.T. Afergan, D. Ziemkiewicz, C. Taylor, H.A. Han, P.K.J. Chang, R. |
| Copyright Year | 1995 |
| Description | 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. |
| Sponsorship | IEEE Computer Society Technical Committee on Computer Graphics IEEE Computer Society |
| Starting Page | 529 |
| Ending Page | 538 |
| Page Count | 10 |
| File Size | 859281 |
| File Format | |
| ISSN | 10772626 |
| Volume Number | 22 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-01-31 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Bayes methods Cognition Accuracy Diseases Breast cancer Sociology Individual Differences Bayesian Reasoning Spatial Ability |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Signal Processing Computer Vision and Pattern Recognition Software |
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