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Kazuki Iida

dblp:92/8319 · 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

Human-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
Wearable and physiological sensing · 77% Accessibility and assistive technology · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › autism
autism support
0.112016
EnhancedTouch: A Smart Bracelet for Enhancing Human-Human Physical Touch · CHI 2016

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

user study · 0.2personal area network communication · 0.2
YearPublicationVenuePosition
2016 EnhancedTouch: A Smart Bracelet for Enhancing Human-Human Physical Touch
abstract
We present EnhancedTouch, a novel bracelet-type wearable device for facilitating human-human physical touch. In particular, we aim to support children with autism spectrum disorder (ASD), who often exhibit particular communication patterns, such as lack of physical touch. EnhancedTouch is a unique device that can measure human-human touch events and provide visual feedback to augment touch interaction. We employ personal area network (PAN) technology for communication with partner devices via modulated electrical current flowing through the users' hands. Our user study show that the visual feedback provided by the developed bracelet motivates children with ASD to touch one another. Moreover, EnhancedTouch offers a function to record the time and duration of a touch event as well as the identity of the touched person. This allows us to identify and evaluate intervention based on physical touch in a quantitative manner.
Kenji Suzuki 0002, Taku Hachisu, Kazuki Iida
CHI3