Demo Data from VLDB 2026 / reviewers in the wild / expert
Yuta Shibasaki
dblp:55/11051
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 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
1 paper |
Haptics and multimodal interaction · 62% Human-robot interaction · 38% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction
multimodal communication |
0.1 | 1 | 2012 | Referent identification process in human-robot multimodal communication · HRI 2012 |
Human-robot interaction › robot perception
robot vision |
0.0 | 1 | 2012 | Referent identification process in human-robot multimodal communication · HRI 2012 |
Human-robot interaction
speech recognition |
0.0 | 1 | 2012 | Referent identification process in human-robot multimodal communication · HRI 2012 |
Methods — techniques the papers use, named apart from their topics
experiment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Referent identification process in human-robot multimodal communicationabstractThis paper presents a communication robot that can generate a referent identification conversation with human users. First, we conduct an experiment to collect face-to-face referent identification communication and investigate how the referent is identified by exchanging multiple speech turns between the participants. On the basis of the experimental observations, we implement a communication robot that can manage a referent identification conversation with a user by integrating the linguistic information obtained from speech recognition and the vision information obtained from a robot camera. Yuta Shibasaki, Takahiro Inaba, Yukiko I. Nakano |
HRI | 1 |