Demo Data from VLDB 2026 / reviewers in the wild / expert
Armin Teubert
dblp:419/8841
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0002-2338-0432ORCID · reported
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.
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 50% Design research and methods · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Smart cities and intelligent transportation · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
mixed reality interaction |
0.9 | 1 | 2025 | Application of Transitional Mixed Reality Interfaces: A Co-Design Study with Flood-Prone Communities · IEEE Trans. Vis. Comput. Graph. 2025 |
Design research and methods
participatory design |
0.9 | 1 | 2025 | Application of Transitional Mixed Reality Interfaces: A Co-Design Study with Flood-Prone Communities · IEEE Trans. Vis. Comput. Graph. 2025 |
Methods — techniques the papers use, named apart from their topics
co-design workshops · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Application of Transitional Mixed Reality Interfaces: A Co-Design Study with Flood-Prone CommunitiesabstractFlood risk communication in disaster-prone communities often relies on traditional tools (e.g., paper and browser-based hazard/flood maps) that struggle to engage community stakeholders and reflect intuitive flood situations. In this paper, we applied the transitional mixed reality (MR) interface concept from pioneering work and extended it for flood risk communication scenarios through co-design with community stakeholders to help vulnerable residents understand flood risk and facilitate preparedness. Starting with an initial transitional MR prototype, we conducted three iterative workshops - each dedicated to device usability, visualization techniques, and interaction methods. We collaborated with diverse community stakeholders in flood-prone areas, collecting feedback to refine the system according to community needs. Our preliminary evaluation indicates that this co-designed system significantly improves user understanding and engagement compared to traditional tools, though some older residents faced usability challenges. We detailed this iterative co-design process, critical insights and design implications, offering our work as a practical case of mixed reality application in strengthening flood risk communication. We also discuss the system's potential to support community-driven collaboration in flood preparedness. Zhiling Jie, Geert Lugtenberg, Armin Teubert, Makoto Fujisawa, Hideaki Uchiyama, Kiyoshi Kiyokawa, Isidro Butaslac, Taishi Sawabe, Hirokazu Kato 0001 |
IEEE Trans. Vis. Comput. Graph. | 4 |