Demo Data from EDBT 2026 / reviewers in the wild / expert
Kevin Van
dblp:353/2191
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0005-3635-2264ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 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 · 77% User interface design and tools · 23% | |
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › 2d animation
hand-drawn animation |
0.7 | 1 | 2023 | RealityCanvas: Augmented Reality Sketching for Embedded and Responsive Scribble Animation Effects · UIST 2023 |
Immersive interaction
augmented reality interaction |
0.7 | 1 | 2023 | RealityCanvas: Augmented Reality Sketching for Embedded and Responsive Scribble Animation Effects · UIST 2023 |
User interface design and tools
creative tools |
0.2 | 1 | 2023 | RealityCanvas: Augmented Reality Sketching for Embedded and Responsive Scribble Animation Effects · UIST 2023 |
Methods — techniques the papers use, named apart from their topics
user study · 1.3mobile AR · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | RealityEffects: Augmenting 3D Volumetric Videos with Object-Centric Annotation and Dynamic Visual EffectsabstractThis paper introduces RealityEffects, a desktop authoring interface designed for editing and augmenting 3D volumetric videos with object-centric annotations and visual effects. RealityEffects enhances volumetric capture by introducing a novel method for augmenting captured physical motion with embedded, responsive visual effects, referred to as object-centric augmentation. In RealityEffects, users can interactively attach various visual effects to physical objects within the captured 3D scene, enabling these effects to dynamically move and animate in sync with the corresponding physical motion and body movements. The primary contribution of this paper is the development of a taxonomy for such object-centric augmentations, which includes annotated labels, highlighted objects, ghost effects, and trajectory visualization. This taxonomy is informed by an analysis of 120 edited videos featuring object-centric visual effects. The findings from our user study confirm that our direct manipulation techniques lower the barriers to editing and annotating volumetric captures, thereby enhancing interactive and engaging viewing experiences of 3D volumetric videos. Jian Liao 0002, Kevin Van, Zhijie Xia, Ryo Suzuki 0001 |
Conference on Designing Interactive Systems | 2 |
| 2023 | RealityCanvas: Augmented Reality Sketching for Embedded and Responsive Scribble Animation EffectsabstractWe introduce RealityCanvas, a mobile AR sketching tool that can easily augment real-world physical motion with responsive hand-drawn animation. Recent research in AR sketching tools has enabled users to not only embed static drawings into the real world but also dynamically animate them with physical motion. However, existing tools often lack the flexibility and expressiveness of possible animations, as they primarily support simple line-based geometry. To address this limitation, we explore both expressive and improvisational AR sketched animation by introducing a set of responsive scribble animation techniques that can be directly embedded through sketching interactions: 1) object binding, 2) flip-book animation, 3) action trigger, 4) particle effects, 5) motion trajectory, and 6) contour highlight. These six animation effects were derived from the analysis of 172 existing video-edited scribble animations. We showcase these techniques through various applications, such as video creation, augmented education, storytelling, and AR prototyping. The results of our user study and expert interviews confirm that our tool can lower the barrier to creating AR-based sketched animation, while allowing creative, expressive, and improvisational AR sketching experiences. Zhijie Xia, Kyzyl Monteiro, Kevin Van, Ryo Suzuki 0001 |
UIST | 3 |