Demo Data from EDBT 2026 / reviewers in the wild / expert
Paul Muentener
dblp:237/8650
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved
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 · 56% Human-AI interaction · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › virtual agents
human-like agents |
0.4 | 1 | 2019 | Children's Responding to Humanlike Agents Reflects an Uncanny Valley · HRI 2019 |
Human-robot interaction › anthropomorphism
uncanny valley |
0.4 | 1 | 2019 | Children's Responding to Humanlike Agents Reflects an Uncanny Valley · HRI 2019 |
Human-robot interaction
child-robot interaction |
0.1 | 1 | 2019 | Children's Responding to Humanlike Agents Reflects an Uncanny Valley · HRI 2019 |
Methods — techniques the papers use, named apart from their topics
empirical study · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Children's Responding to Humanlike Agents Reflects an Uncanny ValleyabstractBoth perceptual mechanisms (e.g., threat detection/avoidance) and social mechanisms (e.g., fears fostered via negative media) may explain the existence of the uncanny valley; however, existing literature lacks sufficient evidence to decide whether one, the other, or a combination best accounts for the valley's effects. As perceptually oriented explanations imply the valley should be evident early in development, we investigated whether it presents in the responding of children ( N=80; ages 5-10) to agents of varying human similarity. We found that, like adults, children were most averse to highly humanlike robots (relative to less humanlike robots and humans). But, unlike adults, children's aversion did not translate to avoidance. The findings thus indicate, consistent with perceptual explanations, that the valley effect manifests well before adulthood. However, further research is needed to understand the emergence of the valley's behavioral consequences. Megan K. Strait, Heather L. Urry, Paul Muentener |
HRI | 3 |