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Demo Data from EDBT 2026 / reviewers in the wild / expert

Marius Claudy

dblp:380/9233 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-7214-1687ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 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-AI interaction · 77% Collaborative and social computing · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction
voice assistants		 1.012026
Do voice agents affect people's gender stereotypes? Quantitative investigation of stereotype spillover effects from interacting with gendered voice agents · Int. J. Hum. Comput. Stud. 2026
Collaborative and social computing › social cognition
gender stereotypes		 0.312026
Do voice agents affect people's gender stereotypes? Quantitative investigation of stereotype spillover effects from interacting with gendered voice agents · Int. J. Hum. Comput. Stud. 2026

Methods — techniques the papers use, named apart from their topics

quantitative investigation · 1.0
YearPublicationVenuePosition
2026 Do voice agents affect people's gender stereotypes? Quantitative investigation of stereotype spillover effects from interacting with gendered voice agents
Madeleine Steeds, Marius Claudy, Benjamin R. Cowan, Anshu Suri
 Int. J. Hum. Comput. Stud.2