Demo Data from EDBT 2026 / reviewers in the wild / expert
Roman Gurbat
dblp:119/8889
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
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% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › scientific visualization
computational steering |
0.1 | 1 | 2012 | Sketching Uncertainty into Simulations · IEEE Trans. Vis. Comput. Graph. 2012 |
Visualization and visual analytics › interaction techniques
sketch-based interaction |
0.1 | 1 | 2012 | Sketching Uncertainty into Simulations · IEEE Trans. Vis. Comput. Graph. 2012 |
Visualization and visual analytics
visual analytics |
0.1 | 1 | 2012 | Sketching Uncertainty into Simulations · IEEE Trans. Vis. Comput. Graph. 2012 |
Methods — techniques the papers use, named apart from their topics
sketch-based input · 0.3ensemble simulation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Sketching Uncertainty into SimulationsabstractIn a variety of application areas, the use of simulation steering in decision making is limited at best. Research focusing on this problem suggests that most user interfaces are too complex for the end user. Our goal is to let users create and investigate multiple, alternative scenarios without the need for special simulation expertise. To simplify the specification of parameters, we move from a traditional manipulation of numbers to a sketch-based input approach. Users steer both numeric parameters and parameters with a spatial correspondence by sketching a change onto the rendering. Special visualizations provide immediate visual feedback on how the sketches are transformed into boundary conditions of the simulation models. Since uncertainty with respect to many intertwined parameters plays an important role in planning, we also allow the user to intuitively setup complete value ranges, which are then automatically transformed into ensemble simulations. The interface and the underlying system were developed in collaboration with experts in the field of flood management. The real-world data they have provided has allowed us to construct scenarios used to evaluate the system. These were presented to a variety of flood response personnel, and their feedback is discussed in detail in the paper. The interface was found to be intuitive and relevant, although a certain amount of training might be necessary. Hrvoje Ribicic, Jürgen Waser, Roman Gurbat, Bernhard Sadransky, M. Eduard Gröller |
IEEE Trans. Vis. Comput. Graph. | 3 |