Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yongho Hwang
dblp:10/7703
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author
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% Health and well-being technologies · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
virtual reality |
0.1 | 1 | 2009 | Integrating conversational virtual humans and mannequin patient simulators to present mixed reality clinical training experiences · ISMAR 2009 |
Health and well-being technologies
medical simulation |
0.0 | 1 | 2009 | Integrating conversational virtual humans and mannequin patient simulators to present mixed reality clinical training experiences · ISMAR 2009 |
Methods — techniques the papers use, named apart from their topics
virtual patient simulation · 0.1mannequin patient simulator · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Integrating conversational virtual humans and mannequin patient simulators to present mixed reality clinical training experiencesabstractWe integrated two simulators, a Virtual Patient (VP) system and a physical Human Patient Simulator (HPS) to create a mixed reality conscious sedation training environment. The VP system simulates clinical environments where learners conduct patient interviews. The HPS is a mannequin that models and simulates a wide array of clinical signs. The VP+HPS combination provides new capabilities specially suited for conscious sedation training. Future work will evaluate the efficacy of this MR simulation. Yongho Hwang, Samsun (Sem) Lampotang, Nikolaus Gravenstein, Isaac Luria, Benjamin Lok |
ISMAR | 1 |