VLDB 2026 Research / reviewers in the wild / expert
Rumi Sato
dblp:76/197
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging 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 · 91% Design research and methods · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
long-term interaction |
0.1 | 1 | 2007 | A Two-Month Field Trial in an Elementary School for Long-Term Human-Robot Interaction · IEEE Trans. Robotics 2007 |
Human-robot interaction › social human-robot interaction
social relationships |
0.1 | 1 | 2007 | A Two-Month Field Trial in an Elementary School for Long-Term Human-Robot Interaction · IEEE Trans. Robotics 2007 |
Design research and methods › field study
field trial |
0.0 | 1 | 2007 | A Two-Month Field Trial in an Elementary School for Long-Term Human-Robot Interaction · IEEE Trans. Robotics 2007 |
Methods — techniques the papers use, named apart from their topics
RFID · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | A Two-Month Field Trial in an Elementary School for Long-Term Human-Robot InteractionabstractInteractive robots participating in our daily lives should have the fundamental ability to socially communicate with humans. In this paper, we propose a mechanism for two social communication abilities: forming long-term relationships and estimating friendly relationships among people. The mechanism for long-term relationships is based on three principles of behavior design. The robot we developed, Robovie, is able to interact with children in the same way as children do. Moreover, the mechanism is designed for long-term interaction along the following three design principles: (1) it calls children by name using radio frequency identification tags; (2) it adapts its interactive behaviors for each child based on a pseudo development mechanism; and (3) it confides its personal matters to the children who have interacted with the robot for an extended period of time. Regarding the estimation of friendly relationships, the robot assumes that people who spontaneously behave as a group together are friends. Then, by identifying each person in the interacting group around the robot, it estimates the relationships between them. We conducted a two-month field trial at an elementary school. An interactive humanoid robot, Robovie, was placed in a classroom at the school. The results of the field trial revealed that the robot successfully continued interacting with many children for two months, and seemed to have established friendly relationships with them. In addition, it demonstrated reasonable performance in identifying friendships among children. We believe that these results demonstrate the potential of current interactive robots to establish social relationships with humans in our daily lives. Takayuki Kanda 0001, Rumi Sato, Naoki Saiwaki, Hiroshi Ishiguro |
IEEE Trans. Robotics | 2 |
| 2004 | Friendly social robot that understands human's friendly relationshipsabstractThis paper reports our novel approach to developing a social robot. The developed robot is able to identify relationships among humans from their physical behaviors as it establishes long-term relationships with humans. This interactive humanoid robot attracts humans to interact with it and, as a result, induces them to perform their group behaviors in front of it. The robot recognizes friendly relationships among humans by simultaneously identifying each person in the interacting group. We conducted a two-month experiment in an elementary school. As a result, the robot successfully continued friendly interaction with many children for the two months, and demonstrated reasonable performance in identifying friendships among children. We believe this ability to maintain friendly relationships with humans and to identify human relationships is essential to behaving socially. Takayuki Kanda 0001, Rumi Sato, Naoki Saiwaki, Hiroshi Ishiguro |
IROS | 2 |