EDBT 2026 Demo / reviewers in the wild / expert
Suemin Jeon
dblp:356/4512
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0007-1013-4845ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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% |
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 › visual analytics
immersive analytics |
0.9 | 1 | 2025 | XROps: A Visual Workflow Management System for Dynamic Immersive Analytics · IEEE Trans. Vis. Comput. Graph. 2025 |
Visualization and visual analytics
visual programming |
0.9 | 1 | 2025 | XROps: A Visual Workflow Management System for Dynamic Immersive Analytics · IEEE Trans. Vis. Comput. Graph. 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | XROps: A Visual Workflow Management System for Dynamic Immersive AnalyticsabstractImmersive analytics is gaining attention across multiple domains due to its capability to facilitate intuitive data analysis in expansive environments through user interaction with data. However, creating immersive analytics systems for specific tasks is challenging due to the need for programming expertise and significant development effort. Despite the introduction of various immersive visualization authoring toolkits, domain experts still face hurdles in adopting immersive analytics into their workflow, particularly when faced with dynamically changing tasks and data in real time. To lower such technical barriers, we introduce XROps, a web-based authoring system that allows users to create immersive analytics applications through interactive visual programming, without the need for low-level scripting or coding. XROps enables dynamic immersive analytics authoring by allowing users to modify each step of the data visualization process with immediate feedback, enabling them to build visualizations on-the-fly and adapt to changing environments. It also supports the integration and visualization of real-time sensor data from XR devices-a key feature of immersive analytics-facilitating the creation of various analysis scenarios. We evaluated the usability of XROps through a user study and demonstrate its efficacy and usefulness in several example scenarios. Suemin Jeon, Junyoung Choi 0004, Haejin Jeong, Won-Ki Jeong |
IEEE Trans. Vis. Comput. Graph. | 1 |