Demo Data from EDBT 2026 / reviewers in the wild / expert
Marta Lopez Infante
dblp:38/9255
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Human-robot interaction · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › robot control
force control |
0.1 | 1 | 2011 | Usability of force-based controllers in physical human-robot interaction · HRI 2011 |
Human-robot interaction
physical human-robot interaction |
0.1 | 1 | 2011 | Usability of force-based controllers in physical human-robot interaction · HRI 2011 |
Human-robot interaction
learning from demonstration |
0.0 | 1 | 2011 | Usability of force-based controllers in physical human-robot interaction · HRI 2011 |
Methods — techniques the papers use, named apart from their topics
user study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Usability of force-based controllers in physical human-robot interactionabstractLearning from demonstration is an invaluable skill for a robot acting in a human populated natural environment, allowing the teaching of new skills without tedious and complex manual programming. Physical human-robot interaction, where the human is in a physical contact with the robot, is a promising approach for teaching especially manipulation skills. This paper studies the human side of physical human-robot interaction, in the context of a human physically guiding a robot through the desired set of motions. The paper addresses the question, which kind of response of the robot is preferable for the human user. In addition, different approaches for the guidance are described and relevant technical challenges are discussed. The main finding of the user study is that there is a need for a trade-off between the conflicting goals of naturalness of motion and positioning accuracy. Marta Lopez Infante, Ville Kyrki |
HRI | 1 |