Demo Data from EDBT 2026 / reviewers in the wild / expert
Yijia Su
dblp:210/6468
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 · 50% Virtual and augmented reality · 50% | |
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 77% User interface design and tools · 23% |
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 › visual encoding
glyph-based visualization |
0.4 | 1 | 2020 | MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality · IEEE Trans. Vis. Comput. Graph. 2020 |
Virtual and augmented reality › augmented reality
mobile augmented reality |
0.4 | 1 | 2020 | MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality · IEEE Trans. Vis. Comput. Graph. 2020 |
User interface design and tools
authoring tools |
0.1 | 1 | 2020 | MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality · IEEE Trans. Vis. Comput. Graph. 2020 |
Methods — techniques the papers use, named apart from their topics
user study · 0.9glyph-based visualization · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented RealityabstractRecent advances in mobile augmented reality (AR) techniques have shed new light on personal visualization for their advantages of fitting visualization within personal routines, situating visualization in a real-world context, and arousing users' interests. However, enabling non-experts to create data visualization in mobile AR environments is challenging given the lack of tools that allow in-situ design while supporting the binding of data to AR content. Most existing AR authoring tools require working on personal computers or manually creating each virtual object and modifying its visual attributes. We systematically study this issue by identifying the specificity of AR glyph-based visualization authoring tool and distill four design considerations. Following these design considerations, we design and implement MARVisT, a mobile authoring tool that leverages information from reality to assist non-experts in addressing relationships between data and virtual glyphs, real objects and virtual glyphs, and real objects and data. With MARVisT, users without visualization expertise can bind data to real-world objects to create expressive AR glyph-based visualizations rapidly and effortlessly, reshaping the representation of the real world with data. We use several examples to demonstrate the expressiveness of MARVisT. A user study with non-experts is also conducted to evaluate the authoring experience of MARVisT. Chen Zhu-Tian, Yijia Su, Yifang Wang 0001, Qianwen Wang 0001, Huamin Qu, Yingcai Wu |
IEEE Trans. Vis. Comput. Graph. | 2 |