Demo Data from EDBT 2026 / reviewers in the wild / expert
Hung-Kai Ting
dblp:44/4906
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2000
—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 · 50% Human-robot interaction · 50% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › spatial interaction › navigation
3d navigation |
0.0 | 1 | 2000 | An Intelligent User Interface with Motion Planning for 3D Navigation · VR 2000 |
Human-robot interaction › robot navigation
path planning |
0.0 | 1 | 2000 | An Intelligent User Interface with Motion Planning for 3D Navigation · VR 2000 |
Methods — techniques the papers use, named apart from their topics
probabilistic roadmap · 0.1motion planning · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | An Intelligent User Interface with Motion Planning for 3D NavigationabstractDue to the rapid evolution of graphics hardware, interactive 3D graphics is becoming popular on desktop personal computers. However, it remains a challenging task for a novice user equipped with a 2D mouse to navigate in an architectural environment efficiently. We think the problem is partly due to the fact that precise navigation control is difficult to achieve with low frame rates. In this paper, we propose a novel approach to improve the effectiveness and efficiency of 3D navigation for architectural walkthrough applications. We adopt a path planner with a probabilistic roadmap to help users avoid unnecessary maneuvers due to collisions with the environment. We modify a Java3D implementation of a VRML browser to incorporate the path planner into the user interface. Experiments show that our implementation of the path planner is very efficient and can be seamlessly incorporated into the navigation control loop. The overall navigation time for traversing a sequence of checkpoints in a maze-like environment can be improved by about a factor of two if the intelligent user interface is used. Tsai-Yen Li, Hung-Kai Ting |
VR | 2 |