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Michihiko Furuhashi

dblp:172/2518 · DBLP profile ↗
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2ranked-venue papers
2as 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 · 2 · 2 first-authorHuman-computer interaction and ubiquitous 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 · 44% Haptics and multimodal interaction · 44% Accessibility and assistive technology · 13%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.212016
Haptic Communication Robot for Urgent Notification of Hearing-Impaired People · HRI 2016
Haptics and multimodal interaction
haptic communication
0.212016
Haptic Communication Robot for Urgent Notification of Hearing-Impaired People · HRI 2016
Accessibility and assistive technology
deaf and hard of hearing
0.112016
Haptic Communication Robot for Urgent Notification of Hearing-Impaired People · HRI 2016

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

user study · 0.2bumping behavior model · 0.2
YearPublicationVenuePosition
2016 Haptic Communication Robot for Urgent Notification of Hearing-Impaired People
abstract
A proposed robot provides functionality inspired by the behavior of hearing dogs, which assist hearing-impaired people by alerting them to important sounds such as fire and smoke alarms. Hearing dogs use body contact for communication with hearing-impaired people, a process heavily depending on haptic communication. The proposed robot also uses physical contact for urgent notification, like a hearing dog's touching behavior. The robot can move using its wheels and then approach and bump people. To be explicit our proposal, our bumping behavior model was simplified and an experiment was conducted with hearing-impaired participants and a prototype robot. This paper reports the experimental results and discusses effectiveness of the robot's bumping behavior.
Michihiko Furuhashi, Tsuyoshi Nakamura, Masayoshi Kanoh, Koji Yamada
HRI1
2015 Touch-based information transfer from a robot modeled on the hearing dog
abstract
Research on physical human-robot interaction has been attracting attention recently, focusing on robot embodiment. The work reported here proposes Active Touch Communication Robot (AcToR), a robot that is modeled on the hearing dog. A hearing dog is a type of dog assist people who are deaf or hard of hearing by alerting their handler to important sounds. AcToR uses the sense of touch to notify a human of the intention to transfer information. For example, when AcToR detects that a cell phone that is in another location has received a call, AcToR moves to the user's location and makes contact with the user's body to notify the user of the incoming call. The AcToR robot is based on the Roomba®and uses the Roomba's bumper and contact sensors to detect contact. This paper reports the results of psychological experiments using the AcToR robot that indicate the feasibility of using touch to transfer information from a robot to a person.
Michihiko Furuhashi, Tsuyoshi Nakamura, Masayoshi Kanoh, Koji Yamada
FUZZ-IEEE1