Demo Data from EDBT 2026 / reviewers in the wild / expert
Stephanie Kim
dblp:264/7952
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0005-7814-1158ORCID · 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 · 77% Collaborative and social computing · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
robot autonomy |
0.8 | 1 | 2024 | A Taxonomy of Robot Autonomy for Human-Robot Interaction · HRI 2024 |
Methods — techniques the papers use, named apart from their topics
systematic literature review · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | A Taxonomy of Robot Autonomy for Human-Robot InteractionabstractRobot autonomy is an influential and ubiquitous factor in human-robot interaction (HRI), but it is rarely discussed beyond a one-dimensional measure of the degree to which a robot operates without human intervention. As robots become more sophisticated, this simple view of autonomy could be expanded to capture the variety of autonomous behaviors robots can exhibit and to match the rich literature on human autonomy in philosophy, psychology, and other fields. In this paper, we conduct a systematic literature review of robot autonomy in HRI and integrate this with the broader literature into a taxonomy of six distinct forms of autonomy: those based on robot and human involvement at runtime (operational autonomy, intentional autonomy, shared autonomy), human involvement before runtime (non-deterministic autonomy), and expressions of autonomy at runtime (cognitive autonomy, physical autonomy). We discuss future considerations for autonomy in HRI that emerge from this study, including moral consequences, the idealization of "full" robot autonomy, and connections to agency and free will. Stephanie Kim, Jacy Reese Anthis, Sarah Sebo |
HRI | 1 |