Demo Data from SIGIR 2026 / reviewers in the wild / expert
Josefine Schreiter
dblp:302/3287
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0003-1761-8352ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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 |
Human-robot interaction · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
robot manipulation |
0.9 | 1 | 2025 | Exploring Interaction Concepts for the Manipulation of a Collaborative Robot: A Comparative Study · HRI 2025 |
Medical and health informatics › medical robotics
robotic ultrasound |
0.3 | 1 | 2025 | Exploring Interaction Concepts for the Manipulation of a Collaborative Robot: A Comparative Study · HRI 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 1.7comparative evaluation · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Exploring Interaction Concepts for the Manipulation of a Collaborative Robot: A Comparative StudyabstractRobotic systems have the potential to enhance a wide range of domains, such as medical workflows, by automating individual steps of complex processes. However, human-robot interaction (HRI) is of critical importance, as effective collaboration between humans and robots is essential even in highly automated environments. Recent research has predominantly focused on the development of interaction methods rather than systematically comparing existing approaches. Therefore, we conducted a user study (n=20) to compare different HRI concepts for end effector manipulation combined with clutching mechanisms for manip-ulation activation in an alignment task using the example of robotic ultrasound (US). Manipulation methods included hand-guiding, teleoperation, and touchless interaction, while clutching mechanisms were realized through hand, voice, and foot interaction. The results indicate advantages of hand-guiding for manipulation. While no significant differences were observed between clutching mechanisms, strong evidence suggests comparable performance across these modalities. Notably, significant interaction effects on perceived workload reveal that the optimal clutching mechanism depends on the selected manipulation technique. This work underscores the critical importance of selecting appropriate HRI concepts and understanding the dependencies of manipulation techniques with clutching mechanisms. While our study included the usage of a robotic US, the insights gained are broadly transferable across various domains involving robotic manipulation tasks in human-robot collaboration. Josefine Schreiter, Tonia Mielke, Marilena Georgiades, Maciej Pech, Christian Hansen 0001, Florian Heinrich |
HRI | 1 |