Title | ||
---|---|---|
Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty. |
Abstract | ||
---|---|---|
People often have erroneous intuitions about the results of uncertain processes, such as scientific experiments. Many uncertainty visualizations assume considerable statistical knowledge, but have been shown to prompt erroneous conclusions even when users possess this knowledge. Active learning approaches been shown to improve statistical reasoning, but are rarely applied in visualizing uncertaint... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TVCG.2017.2743898 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Uncertainty,Sociology,Statistics,Data visualization,Cognition,Probability distribution,Visualization | Sampling distribution,Data mining,Data visualization,Active learning,Information visualization,Computer science,Visualization,Replication crisis,Probability distribution,Artificial intelligence,Machine learning,Sketch | Journal |
Volume | Issue | ISSN |
24 | 1 | 1077-2626 |
Citations | PageRank | References |
6 | 0.47 | 9 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jessica Hullman | 1 | 477 | 26.51 |
Matthew Kay | 2 | 451 | 30.42 |
Yea-Seul Kim | 3 | 69 | 8.08 |
Samana Shrestha | 4 | 6 | 0.47 |