Demo Data from SIGIR 2026 / reviewers in the wild / expert
Benjamin Schuster
dblp:354/9726
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
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 · 61% Health and well-being technologies · 30% Learning and educational technologies · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies
medical simulation |
0.8 | 1 | 2024 | Choosing the Right Reality: A Comparative Analysis of Tangibility in Immersive Trauma Simulations · CHI 2024 |
Immersive interaction
mixed reality |
0.8 | 1 | 2024 | Choosing the Right Reality: A Comparative Analysis of Tangibility in Immersive Trauma Simulations · CHI 2024 |
Learning and educational technologies › medical training
first responder training |
0.2 | 1 | 2024 | Choosing the Right Reality: A Comparative Analysis of Tangibility in Immersive Trauma Simulations · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
comparative analysis · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Choosing the Right Reality: A Comparative Analysis of Tangibility in Immersive Trauma SimulationsabstractIn the field of medical first responder training, the choice of training modality is crucial for skill retention and real-world application. This study introduces the Green Manikin, an advanced Mixed Reality (MR) tool, conceptually combining the immersiveness of Virtual Reality (VR) with the tangibility of real-world training, and compares it against traditional real-world simulations and VR training. Our findings indicate that MR and real-world settings excel in Self and Social Presence, and in intention to use, offering heightened psychological presence suitable for complex training scenarios. Effort expectancy was highest in real-world environments, suggesting their ease of use for basic skill acquisition. This nuanced understanding allows for better tailoring of training modalities to specific educational objectives. Our research validates the utility of MR and offers a framework for selecting the most effective training environment for different learning outcomes in medical first responder training. Jakob Carl Uhl, Rodrigo Gutierrez, Georg Regal, Helmut Schrom-Feiertag, Benjamin Schuster, Manfred Tscheligi |
CHI | 5 |
| 2023 | Multi-stage Fine-Tuning Deep Learning Models Improves Automatic Assessment of the Rey-Osterrieth Complex Figure Test
Benjamin Schuster, Florian Kordon, Martin Mayr, Mathias Seuret, Stefanie Jost, Josef Kessler, Vincent Christlein |
ICDAR (1) | 1 |