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Kaito Nakamura

dblp:371/3251 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

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 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
lifelikeness
0.912025
Development of Robot Feeding Experience to Improve Lifelikeness · HRI 2025
Human-robot interaction › social robot
social robot design
0.912025
Development of Robot Feeding Experience to Improve Lifelikeness · HRI 2025

Methods — techniques the papers use, named apart from their topics

user study · 0.9
YearPublicationVenuePosition
2025 Development of Robot Feeding Experience to Improve Lifelikeness
abstract
This study investigated the effect of biomimetic feeding behavior on the perception of lifelikeness in robots. A robot designed to simulate the feeding behavior of the emperor penguin was developed. It features a 3D-printed beak, movable wings, and a furry exterior, which allows for safe tactile interaction. Participants interacted with the robot in two conditions: with and without feeding. The results indicate that feeding may enhance the lifelikeness and perceived intelligence of the robot. This outcome suggests the potential for interaction through feeding to facilitate a deeper connection between humans and robots, which will be useful for designing more lifelike robots in the future.
Takuto Akiyoshi, Kaito Nakamura, Taishi Sawabe
HRI2