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Hyu Miyashita

dblp:404/5844 · DBLP profile ↗
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1ranked-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 · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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 · 88% Ubiquitous computing and smart environments · 12%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › service robot › domestic robotics
robotic furniture
0.912025
FrameLight: Guiding Attention Through Motion and Arrangement in Shape-Changing Furniture Robots · HRI 2025
Human-robot interaction › robot embodiment
shape-changing robot
0.912025
FrameLight: Guiding Attention Through Motion and Arrangement in Shape-Changing Furniture Robots · HRI 2025
Ubiquitous computing and smart environments
calm technology
0.312025
FrameLight: Guiding Attention Through Motion and Arrangement in Shape-Changing Furniture Robots · HRI 2025

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

user study · 0.9
YearPublicationVenuePosition
2025 FrameLight: Guiding Attention Through Motion and Arrangement in Shape-Changing Furniture Robots
abstract
This paper introduces “FrameLight,” a shape-changing, mobile furniture robot, as one example of the broader concept of “Furnituroids,” which encompasses multiple robots designed to enhance spatial experiences. FrameLight features parallel link mechanisms and dimmable LEDs mounted on a mobile base, capable of dynamically adjusting its shape and position. As an application of calm technology, multiple FrameLight units subtly capture attention and direct users' gaze through synchronized movements and spatial configurations. A user study was conducted using three FrameLight units to investigate how their arrangement and movement patterns influence user perception and behavior. The findings reveal that these robots effectively direct attention through their motion, with vertical arrangements that create a sense of depth being particularly well-received by participants.
Hyu Miyashita, Yasuto Nakanishi
HRI1