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Jun Murao

dblp:313/5686 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2022
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 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 · 77% Health and well-being technologies · 23%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › affective interaction
affective touch
0.612022
Hugmon: Exploration of Affective Movements for Hug Interaction using Tensegrity Robot · HRI 2022
Health and well-being technologies › mental health
mental healthcare
0.212022
Hugmon: Exploration of Affective Movements for Hug Interaction using Tensegrity Robot · HRI 2022

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

user study · 0.6tensegrity robot · 0.6
YearPublicationVenuePosition
2022 Hugmon: Exploration of Affective Movements for Hug Interaction using Tensegrity Robot
abstract
Since ancient times, a hug has been one of the most basic ways to express emotions and has played an important role in building relationships between people. On the other hand, social robots that are designed to provide mental health care to patients have been attracting great attention, and hugging between humans and robots is becoming more and more popular. In this study, we propose a huggable robot that allows intimate interactions between humans and robots. Our robot is based on a tensegrity structure, which is composed of rigid elements connected by springs, and the structure allows the robot to flexibly respond to external force from a hugging interaction, and express various emotions through its movements. In addition, we conducted user experiments and explored an interaction design for the affective movement of the proposed robot. Through the experiments, we confirm that a robot with a tensegrity structure can be used for a hug interaction and it has a large possibility for emotional interaction.
Naoya Yoshimura, Yushi Sato, Yuta Kageyama, Jun Murao, Satoshi Yagi, Parinya Punpongsanon
HRI4
2021 Concept Drift Detection with Denoising Autoencoder in Incomplete Data
Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara
MobiQuitous1