Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Maarten van Zomeren

dblp:80/5040 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 2 · 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
2 papers
Human-robot interaction · 88% Collaborative and social computing · 12%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
field robotics		 0.112009
Human-robot interaction observations from a proto-study using SUAVs for structural inspection · HRI 2009
Human-robot interaction › field robotics
search and rescue robotics		 0.112009
Preliminary observation of HRI in robot-assisted medical response · HRI 2009
Collaborative and social computing › team collaboration
team coordination		 0.012009
Preliminary observation of HRI in robot-assisted medical response · HRI 2009

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

proto-study · 0.1observation · 0.1field observation · 0.1
YearPublicationVenuePosition
2009 Preliminary observation of HRI in robot-assisted medical response
abstract
This video captures human-robot interaction which occurred during an evaluation of a novel, snake-like search and rescue robot assisting with victim management. Most of the observations confirmed previous findings- That a 2:1 H-R ratio ratio is appropriate, Team coordination is enhanced by shared visual perception, and Poor interfaces continue to lead to incomplete coverage. However, the victims responded to the robot in two surprising ways: grabbing the robot and being concerned about its appearance.
Robin R. Murphy, Masashi Konyo, Pedro Davalas, Gabe Knezek, Satoshi Tadokoro, Kazuna Sawata, Maarten van Zomeren
 HRI7
2009 Human-robot interaction observations from a proto-study using SUAVs for structural inspection
abstract
No abstract available.
Maarten van Zomeren, Joshua M. Peschel, Gabe Knezek, James Doebbler, Jeremy J. Davis, Tracy Anne Hammond, Augustinus H. J. Oomes, Robin R. Murphy
 HRI1