Name
Abstract | ||
|---|---|---|
Human decisions are prone to biases, and this is no less true for decisions made within data visualizations. Bias mitigation strategies often focus on the person, by educating people about their biases, typically with little success. We focus instead on the system, presenting the first evidence that altering the design of an interactive visualization tool can mitigate a strong bias - the attractio... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TVCG.2018.2865233 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Data visualization,Training,Decision making,Cognition,Visualization,Task analysis | Cognitive bias,Debiasing,Counterintuitive,Data visualization,Task analysis,Information visualization,Visualization,Computer science,Theoretical computer science,Human–computer interaction,Interactive visualization | Journal |
Volume | Issue | ISSN |
25 | 1 | 1077-2626 |
Citations | PageRank | References |
3 | 0.37 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evanthia Dimara | 1 | 54 | 6.68 |
| Gilles Bailly | 2 | 979 | 56.69 |
| Anastasia Bezerianos | 3 | 674 | 37.75 |
| Steven Franconeri | 4 | 263 | 17.77 |