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Kenta Kubo

dblp:64/8854 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Human-robot interaction
nonverbal communication
0.912025
Effects of Robot Bowing during Apology on Trust Repair · HRI 2025
Human-robot interaction › trust in robots
trust repair
0.912025
Effects of Robot Bowing during Apology on Trust Repair · HRI 2025
Human-robot interaction › humanlikeness
human-like motion
0.312025
Effects of Robot Bowing during Apology on Trust Repair · HRI 2025
Human-robot interaction › robot design
movement design
0.312025
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
YearPublicationVenuePosition
2025 Effects of Robot Bowing during Apology on Trust Repair
abstract
This 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
HRI2
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
CogSci1