Demo Data from EDBT 2026 / reviewers in the wild / expert
Bo Luan
dblp:137/5602
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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.
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 77% Collaborative and social computing · 23% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input
gesture input |
0.3 | 1 | 2017 | Gesture-based augmented reality annotation · VR 2017 |
Virtual and augmented reality
augmented reality |
0.1 | 1 | 2017 | Gesture-based augmented reality annotation · VR 2017 |
Collaborative and social computing › social interaction
multi-user interaction |
0.1 | 1 | 2017 | Gesture-based augmented reality annotation · VR 2017 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Gesture-based augmented reality annotationabstractDrawing annotations with 3D hand gestures in augmented reality is useful for creating visual and spatial references in the real world, especially when these gestures can be issued from a distance. Different techniques exist for highlighting physical objects with hand-drawn annotations from a distance, assuming an approximate 3D scene model (e.g., as provided by the Microsoft HoloLens). However, little is known about user preference and performance of such methods for annotating real-world 3D environments. To explore and evaluate different 3D hand-gesture-based annotation drawing methods, we have developed an annotation drawing application using the HoloLens augmented reality development platform. The application can be used for highlighting objects at a distance and multi-user collaboration by annotating in the real world. YunSuk Chang, Benjamin Nuernberger, Bo Luan, Tobias Höllerer, John O'Donovan |
VR | 3 |