Demo Data from EDBT 2026 / reviewers in the wild / expert
Bomee Yoo
dblp:49/9255
· DBLP profile ↗
1ranked-venue papers
0as 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 · 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 · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
trust in robots |
0.1 | 1 | 2011 | Are specialist robots better than generalist robots? · HRI 2011 |
Human-robot interaction
robot perception |
0.0 | 1 | 2011 | Are specialist robots better than generalist robots? · HRI 2011 |
Methods — techniques the papers use, named apart from their topics
controlled experiment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Are specialist robots better than generalist robots?abstractWhen a robot is said to be a specialist in a particular domain, does it alter the nature and quality of human-robot interaction? This study examines the effects of specialization in robot functions, along with individual difference in immersive tendencies, on users' trust, perception, activity, and memory. In a controlled experiment, 38 participants were taught a physical exercise lesson from either a specialist or generalist humanoid robot for 6 min. Results showed that specialization had effects on the participants' affective trust; and immersive tendency predicted active participation in the interaction and led to better memory. The latter also moderated the effect of the former - users with higher immersive tendency are more likely to make human attributions of specialization, and rate a specialist robot as more intelligent than a generalist robot. These results have theoretical implications for media-equation as well as design implications for human-robot interaction professionals. Young June Sah, Bomee Yoo, S. Shyam Sundar |
HRI | 2 |