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Atsushi Yamagishi

dblp:53/2646 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.

Theoretical computer science
1 paper
Computational geometry · 50% Mathematical optimization · 50%

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

TopicWeightPapersLastEvidence papers
Computational geometry
geometric modeling and processing
0.011998
Application of evolutionary programming to shape design · Comput. Aided Des. 1998
Mathematical optimization › design optimization
shape optimization
0.011998
Application of evolutionary programming to shape design · Comput. Aided Des. 1998

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

evolutionary programming · 0.0
YearPublicationVenuePosition
2021 Layered-Modeling of Affective and Sensory Experiences using Structural Equation Modeling: Touch Experiences of Plastic Surfaces as an Example
abstract
Developing a multilayered structure of adjective words that explains semantic relationships between human perceptual and affective responses to stimuli is instrumental in the design of affective aspects of products. However, the determination of multilayered structure is demanding and, thus far, it has been conducted by experienced developers in a trial-and-error manner. This study developed a method to systematically establish such structures through common tasks for sensory evaluation where products are rated along adjective labels. This method gradually expands the model from a simple two-layered to complex multilayered structures until it is accepted by structural equation modeling. The lower and higher layers of the initial two-layered model are composed of sensory and affective adjectives, respectively. The parts with weak fit indices of the higher layer are then remodeled, resulting in a multilayered affective structure. To validate the method, we built adjective structures based on responses to touching plastic plates. The method resulted in three- and four-layered structures that were quantitatively and semantically valid.
Shogo Okamoto, Haruyo Kojima, Atsushi Yamagishi, Kyoichi Kato, Atsuko Tamada
IEEE Trans. Affect. Comput.3
1998 Application of evolutionary programming to shape design
Toshiharu Taura, Ichiro Nagasaka, Atsushi Yamagishi
Comput. Aided Des.3