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Ken Arai

dblp:278/6687 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-4165-6000ORCID · reported

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

Human-computer interaction and ubiquitous computing · 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 · 100%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
motion retargeting
0.212024
Embodied Tentacle: Mapping Design to Control of Non-Analogous Body Parts with the Human Body · CHI 2024

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

user study · 1.5subjective evaluation · 1.5
YearPublicationVenuePosition
2024 Embodied Tentacle: Mapping Design to Control of Non-Analogous Body Parts with the Human Body
abstract
Manipulating a non-humanoid body using a mapping approach that translates human body activity into different structural movements enables users to perform tasks that are difficult with their innate bodies. However, a key challenge is how to design an effective mapping to control non-analogous body parts with the human body. To address this challenge, we designed an articulated virtual arm and investigated the effect of mapping methods on a user’s manipulation experience. Specifically, we developed an unbranched 12-joint virtual arm with an octopus-like appearance. Using this arm, we conducted a user study to compare the effects of several mapping methods with different arrangements on task performance and subjective evaluations of embodiment and user preference. As a result, we identified three important factors in mapping: “Visual and Configurational Similarity”, “Kinematics Suitability for the User”, and “Correspondence with Everyday Actions.” Based on these findings, we discuss a mapping design for non-humanoid body manipulation.
Shuto Takashita, Ken Arai, Hiroto Saito, Michiteru Kitazaki, Masahiko Inami
CHI2