EDBT 2026 Demo / reviewers in the wild / expert
Benjamin Ward
dblp:247/3953
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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 · 87% Virtual and augmented reality · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
collaborative data analysis |
0.4 | 1 | 2019 | Collaborative Data Analytics Using Virtual Reality · VR 2019 |
Visualization and visual analytics › visual analytics
immersive analytics |
0.4 | 1 | 2019 | Collaborative Data Analytics Using Virtual Reality · VR 2019 |
Virtual and augmented reality
immersive interaction |
0.1 | 1 | 2019 | Collaborative Data Analytics Using Virtual Reality · VR 2019 |
Methods — techniques the papers use, named apart from their topics
star plot · 0.4star coordinates · 0.4decision tree visualization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Collaborative Data Analytics Using Virtual RealityabstractImmersive analytics allows a large amount of data and complex structures to be concurrently investigated. We propose a collaborative analytics system that benefits from new advances in immersive technologies for collaborators working in the early stages of data exploration. We implemented a combination of Star Coordinates and Star Plot visualisation techniques to support the visualisation of multidimensional data and the encoding of datasets using simple and compact visual representations. To support data analytics tasks, we propose tools and interaction techniques for users to build decision trees for visualising and analysing data in a top-down method. Thi Thuong Huyen Nguyen, Benjamin Ward, Ulrich Engelke, Bruce H. Thomas, Tomasz Bednarz |
VR | 2 |