Demo Data from EDBT 2026 / reviewers in the wild / expert
Allison P. Rzepczynski
dblp:94/11051
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Human-robot interaction · 77% Learning and educational technologies · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › healthcare robotics
patient robot |
0.1 | 1 | 2012 | Ask, inform, or act: communication with a robotic patient before haptic action · HRI 2012 |
Learning and educational technologies
medical education |
0.0 | 1 | 2012 | Ask, inform, or act: communication with a robotic patient before haptic action · HRI 2012 |
Methods — techniques the papers use, named apart from their topics
observational study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Ask, inform, or act: communication with a robotic patient before haptic actionabstractCurrently in medical education, clinical students learn how to interact with real patients via simulated patients, which are inexpressive, teleoperated robot mannequins. We obtained five simulations that used such a robot to explore verbal communication between clinical students and the robot patient, specifically if the students sought approval before performing haptic-actions. We found that in our sample, student clinicians frequently acted without seeking approval or providing information to the robot patient. We hope to further our studies in order to identify if either current training of clinical students in communication is ineffective, or if the robot patients are too nonhuman-like and inexpressive to engender appropriate communication. Timothy J. Martin, Allison P. Rzepczynski, Laurel D. Riek |
HRI | 2 |