Demo Data from SIGIR 2026 / reviewers in the wild / expert
Isaac Luria
dblp:17/7703
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Human-computer interaction and ubiquitous computing · 2
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
2 papers |
Health and well-being technologies · 57% Immersive interaction · 28% Haptics and multimodal interaction · 15% |
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 |
0.2 | 2 | 2013 | Mixed simulators: Augmented physical simulators with virtual underlays · VR 2013 Integrating conversational virtual humans and mannequin patient simulators to present mixed reality clinical training experiences · ISMAR 2009 |
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 |
Haptics and multimodal interaction
multimodal feedback |
0.0 | 1 | 2013 | Mixed simulators: Augmented physical simulators with virtual underlays · VR 2013 |
Methods — techniques the papers use, named apart from their topics
magnetic tracking · 0.23d printing · 0.2virtual patient simulation · 0.1mannequin patient simulator · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Mixed simulators: Augmented physical simulators with virtual underlaysabstractWe introduce a taxonomy for mixed simulation focusing on mixed simulators with physical exteriors augmented with virtual underlays for practicing medical procedures such as central venous access (CVA). We used CT and MRI imaging and 3D printing to develop anatomically authentic mixed simulators, i.e., exact physical and/or virtual replicas of their human models. Embedded 6 DOF magnetic sensors monitor tracked instruments during simulated procedures, facilitating after action review or self-debriefing. We implemented automated scoring algorithms that include tracking and grading of near misses. After 28 anesthesia residents trained with the CVA simulator, incidence of pneumothorax and arterial puncture in the simulated environment dropped from 11 % to 7% and 13% to 7%, respectively. Samsun (Sem) Lampotang, David E. Lizdas, Didier Rajon, Isaac Luria, Nikolaus Gravenstein, Yashwant Bisht, Wilhelm Schwab, William Friedman, Frank Bova, Albert Robinson |
VR | 4 |
| 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 | 4 |