EDBT 2026 Demo / reviewers in the wild / expert
Ashley H. Oiknine
dblp:244/3733
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
uncertainty visualization |
0.7 | 1 | 2023 | Practice Improves Performance of a 2D Uncertainty Integration Task Within and Across Visualizations · IEEE Trans. Vis. Comput. Graph. 2023 |
Human-AI interaction › human decision-making
decision making under uncertainty |
0.2 | 1 | 2023 | Practice Improves Performance of a 2D Uncertainty Integration Task Within and Across Visualizations · IEEE Trans. Vis. Comput. Graph. 2023 |
Methods — techniques the papers use, named apart from their topics
user study · 1.3practice with feedback · 1.3equivalence testing · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Practice Improves Performance of a 2D Uncertainty Integration Task Within and Across VisualizationsabstractInformation uncertainty is ubiquitous in everyday life, including in domains as diverse as weather forecasts, investments, and health risks. Knowing how to interpret and integrate this uncertain information is vital for making good decisions, but this can be difficult for experts and novices alike. In this study, we examine whether brief, focused practice can improve people's ability to understand and integrate bivariate Gaussian uncertainty visualized via ensemble displays, summary displays, and distributional displays, and we examine whether this is influenced by the complexity of the displayed information. In two experiments (N=118 and 56), decision making was faster and more accurate after practice relative to before practice. Furthermore, the performance improvements transferred to use of display types that were not practiced. This suggests that practice with feedback may improve underlying skills in probabilistic reasoning and provides a promising approach to improve people's decision making under uncertainty. Sarah Kusumastuti, Kimberly A. Pollard, Ashley H. Oiknine, Bianca Dalangin, Tiffany Raber, Benjamin T. Files |
IEEE Trans. Vis. Comput. Graph. | 3 |