Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kyohei Matsui
dblp:55/4654
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—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 |
Learning and educational technologies · 44% Health and well-being technologies · 44% Haptics and multimodal interaction · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies › medical simulation
dental training simulation |
0.1 | 1 | 2010 | Evaluation of training effect of tooth scaling simulator by measurement of operation force · VR 2010 |
Learning and educational technologies
simulation-based training |
0.1 | 1 | 2010 | Evaluation of training effect of tooth scaling simulator by measurement of operation force · VR 2010 |
Haptics and multimodal interaction › haptic feedback
force feedback |
0.0 | 1 | 2010 | Evaluation of training effect of tooth scaling simulator by measurement of operation force · VR 2010 |
Methods — techniques the papers use, named apart from their topics
video-see-through HMD · 0.1stereo display · 0.1PHANToM · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Evaluation of training effect of tooth scaling simulator by measurement of operation forceabstractApprentice dentists and dental hygienists must be trained "tooth scaling". However most of training schools have several problems, lack of cooperative patients with calculi, a great variety of calculi. The authors have developed a simulator for the training by using a PHANToM and a video-see-through HMD in the previous paper. In this paper, visual display of the simulator is improved in streoscopic. Then the training effectiveness has been evaluated based on difference between operation force by veterans and that by beginners. The result shows the developed simulator is effective, and the teaching function of the simulator contributes to training effect, whereas the stereo vision without the teaching function doesn't contribute so much. Nobuyoshi Hashimoto, Hideo Kato, Kyohei Matsui |
VR | 3 |