Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tomoharu Sano
dblp:95/9255
· 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 |
Wearable and physiological sensing · 77% Design research and methods · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing
facial expression sensing |
0.1 | 1 | 2011 | From cartoons to robots part 2: facial regions as cues to recognize emotions · HRI 2011 |
Design research and methods › research methodology
cross-cultural study |
0.0 | 1 | 2011 | From cartoons to robots part 2: facial regions as cues to recognize emotions · HRI 2011 |
Methods — techniques the papers use, named apart from their topics
survey · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | From cartoons to robots part 2: facial regions as cues to recognize emotionsabstractThis paper reports a preliminary result of a cross-cultural study on the facial regions as cues to recognize virtual agents' facial expressions. We believe providing research results on the perception of cartoonish virtual agents' facial expressions to HRI research community is meaningful in order to minimize the effort to develop robot's facial expressions. The result implies Japanese weighed facial cues more heavily in the eye regions than Hungarians, who weighed facial cues more heavily in the mouth region than Japanese. Tomoko Koda, Zsófia Ruttkay, Tomoharu Sano |
HRI | 3 |