Systematic Literature Reviews in Kansei Engineering for Product Design—A Comparative Study from 1995 to 2020

López, O.; Murillo, Clara; González, Alfonso González

doi:10.3390/s21196532

Cited by 21 publications

(14 citation statements)

References 42 publications

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“…In recent years, Kansei engineering has been applied to product development and safety improvement in the automotive and electronics industries [ 15 , 16 ]. For hairdressing scissors, Boyles et al have studied the ergonomic design of scissors handles with the aim of reducing the burden on the user [ 17 ].…”

Section: Discussionmentioning

confidence: 99%

A Low Mean Closing Load and a Decrease in Load Change at the Tip Increase the Comfort of Scissors

Ota,

Kaneda,

Maeda

et al. 2024

Cureus

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Introduction During surgery, surgeons intuitively recognize when they are using dull scissors and find them difficult to use. The purpose of this study was to objectively evaluate the physical characteristics of scissors and the comfort reported by surgeons to develop objective quality control standards for scissors used in surgery. Methods Sensory and measurement tests were conducted to evaluate the comfort and physical characteristics of ten pairs of Cooper scissors. As a sensory test, thirty-one volunteer surgeons opened and closed the scissors and selected three that felt comfortable and three that were uncomfortable. The results were scored. For measurement, a load was applied to the handle of the scissors. The load pressure and displacement of the width between each handle when the scissors were closed were measured. Results A strong negative correlation was found between the total comfort score and the mean load value between sensory and measurement tests (r=-0.717, p=0.0195). The correlation between the total score and the change in load at the tip showed a moderate negative correlation (r=-0.687, p=0.0282). Multiple regression analysis showed that the change in load at the tip was an independent factor affecting the total score. Conclusions Surgeons consider scissors with a low mean load required to close the scissors and a small change in load at the tip to be comfortable. The mean load on scissors and the change in load at the tip should be considered in the development of quality control standards for scissors used in surgery.

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Section: Discussionmentioning

confidence: 99%

A Low Mean Closing Load and a Decrease in Load Change at the Tip Increase the Comfort of Scissors

Ota,

Kaneda,

Maeda

et al. 2024

Cureus

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“…In Figure 4 , the system is an expert system composed of a database with perceptual information content and correct logical reasoning ability units, which can perform conversion work between physical and perceptual quantities. Kansei Engineering systems can be divided into “forward” and “reverse Kansei Engineering systems” [ 21 – 23 ]. The “forward-type Kansei Engineering system” can transform people's perceptual needs into product design elements for product design and development.…”

Section: Methodsmentioning

confidence: 99%

Convolutional Neural Network Models Combined with Kansei Engineering in Product Design

Yan

2023

Computational Intelligence and Neuroscience

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This study aims to combine deep learning technology and user perception to propose an efficient design method that can meet the perceptual needs of users and enhance the competitiveness of products in the market. Firstly, the application development of sensory engineering and the research on sensory engineering product design by related technologies are discussed, and the background is provided. Secondly, the Kansei Engineering theory and the algorithmic process of the convolutional neural network (CNN) model are discussed, and theoretical and technical support is provided. A perceptual evaluation system is established for product design based on the CNN model. Finally, taking a picture of the electronic scale as an example, the testing effect of the CNN model in the system is analyzed. The relationship between product design modeling and sensory engineering is explored. The results show that the CNN model improves the “logical depth” of perceptual information of product design and gradually increases the abstraction degree of image information representation. There is a correlation between the user perception impression of electronic weighing scales of different shapes and the design effect of product design shapes. In conclusion, the CNN model and perceptual engineering have in‐depth application significance in the image recognition of product design and the perceptual combination of product design modeling. Combined with the CNN model of perceptual engineering, product design is studied. From the perspective of product modeling design, perceptual engineering has been deeply explored and analyzed. In addition, the product perception based on the CNN model can accurately analyze the correlation between product design elements and perceptual engineering and reflect the rationality of the conclusion.

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“…In this paper, we used the literature retrieval method of PRISMA review papers as a guide, and referred to the research method of literature (López et al. , 2021), and searched for papers related to the reconstruction of 3D parametric models of human beings.…”

Section: Parametric Reconstruction Of 3d Model Of the Human Bodymentioning

confidence: 99%

Status of research on parametric methods for the reconstruction of 3D models of the human body for virtual fitting

Feng,

Li,

Wang

et al. 2024

IJCST

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PurposeThis paper reviews the pros and cons of different parametric modeling methods, which can provide a theoretical reference for parametric reconstruction of 3D human body models for virtual fitting.Design/methodology/approachIn this study, we briefly analyze the mainstream datasets of models of the human body used in the area to provide a foundation for parametric methods of such reconstruction. We then analyze and compare parametric methods of reconstruction based on their use of the following forms of input data: point cloud data, image contours, sizes of features and points representing the joints. Finally, we summarize the advantages and problems of each method as well as the current challenges to the use of parametric modeling in virtual fitting and the opportunities provided by it.FindingsConsidering the aspects of integrity and accurate of representations of the shape and posture of the body, and the efficiency of the calculation of the requisite parameters, the reconstruction method of human body by integrating orthogonal image contour morphological features, multifeature size constraints and joint point positioning can better represent human body shape, posture and personalized feature size and has higher research value.Originality/valueThis article obtains a research thinking for reconstructing a 3D model for virtual fitting that is based on three kinds of data, which is helpful for establishing personalized and high-precision human body models.

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Systematic Literature Reviews in Kansei Engineering for Product Design—A Comparative Study from 1995 to 2020

Cited by 21 publications

References 42 publications

A Low Mean Closing Load and a Decrease in Load Change at the Tip Increase the Comfort of Scissors

A Low Mean Closing Load and a Decrease in Load Change at the Tip Increase the Comfort of Scissors

Convolutional Neural Network Models Combined with Kansei Engineering in Product Design

Status of research on parametric methods for the reconstruction of 3D models of the human body for virtual fitting

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