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Mitsuru Naganuma

dblp:25/3402 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous 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
Health and well-being technologies · 87% Human-robot interaction · 13%

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

TopicWeightPapersLastEvidence papers
Health and well-being technologies
dementia care		 0.212016
Study on Transition of Elderly People's Reactions in Robot Therapy · HRI 2016
Health and well-being technologies › rehabilitation technology
robot therapy		 0.212016
Study on Transition of Elderly People's Reactions in Robot Therapy · HRI 2016

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

observational study · 0.2
YearPublicationVenuePosition
2016 Study on Transition of Elderly People's Reactions in Robot Therapy
abstract
Most elderly people staying in nursing homes have dementia, and various kinds of recreational programs are provided in order to prevent or ameliorate this problem. Robot therapy is a recreational program that has recently been introduced in some nursing homes. However, the effects of robot therapy are difficult to evaluate. In this study, we identified events occurring during therapy that are important in the proliferation and evolution of robot therapy. We also found that the presence of an intervener encourages elderly people to be more active.
Toshimitsu Hamada, Yoshihito Kagawa, Hisashi Onari, Mitsuru Naganuma, Tomomi Hashimoto, Toshihiko Yoneoka
 HRI4