Demo Data from VLDB 2026 / reviewers in the wild / expert
Kenta Kubo
dblp:64/8854
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021Applied, interdisciplinary, general and emerging 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 |
Human-robot interaction · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
nonverbal communication |
0.9 | 1 | 2025 | Effects of Robot Bowing during Apology on Trust Repair · HRI 2025 |
Human-robot interaction › trust in robots
trust repair |
0.9 | 1 | 2025 | Effects of Robot Bowing during Apology on Trust Repair · HRI 2025 |
Human-robot interaction › humanlikeness
human-like motion |
0.3 | 1 | 2025 | Effects of Robot Bowing during Apology on Trust Repair · HRI 2025 |
Human-robot interaction › robot design
movement design |
0.3 | 1 | 2025 | Effects of Robot Bowing during Apology on Trust Repair · HRI 2025 |
Methods — techniques the papers use, named apart from their topics
experimental study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Effects of Robot Bowing during Apology on Trust RepairabstractThis study investigates the role of robot bowing in trust repair, focusing on how human-like movement impacts trust in human-robot interaction. We manipulated the movement quality across four conditions: human-like, constant-speed, abrupt, and no-movement. Specifically for the human-like movement, we analyzed the Japanese hospitality (called “omotenashi”) gesture, which expresses attentiveness and respect to others and was translated into robot bowing movement. The experimental results indicated that human-like movement did not significantly affect trust repair, while constant-speed and abrupt movements showed improvements in subjective trust. The study highlighted the need for movement designs with considerations of the robot's appearance to facilitate effective trust repair. Akihiro Maehigashi, Kenta Kubo, Nungduk Yun, Seiji Yamada |
HRI | 2 |
| 2012 | A joint ideomotor effect increases the inter-brain oscillation between two people engaged in a Japanese Ouija board "Kokkuri-san"
Kenta Kubo, Kentaro Katahira, Kazuo Okanoya, Masato Okada, Nobuyuki Kawai |
CogSci | 1 |