Rough Kansei Mining Model for Market-Oriented Product Design

Akgül, Esra; Özmen, Mihrimah; Sınanoğlu, Cem; Aydoğan, Emel Kızılkaya

doi:10.1155/2020/6267031

Cited by 13 publications

(8 citation statements)

References 23 publications

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“…To propose practical methods, it is necessary to outline the basic design innovation process. Improving user satisfaction is the ultimate goal of continuous product innovation [ 2 ]. Therefore, better services and products must start by analyzing user needs [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Product innovation design process combined Kano and TRIZ with AD: Case study

Rong,

Liu,

et al. 2024

PLoS ONE

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In the era of rapid product iteration, companies need simple and effective methods to guide the entire process of product innovation design and enhance their product innovation capabilities. Most research focused on improving one or several steps in the product design process. Although some scholars have proposed methods that guided the entire process, they combined more than three different theories, which increased the difficulty of theoretical learning and the complexity of practical implementation. This paper proposed a product innovation design process composed of three theoretical methods: Kano, Axiomatic Design (AD), and Theory of the Solution of Inventive Problems (TRIZ). This new process guided the entire product design process with fewer theoretical methods, reducing the difficulty of learning and implementation. The paper demonstrated the effectiveness of this method through the design practice of a portable two-wheeled self-balancing vehicle. Additionally, the discussion section explored the method’s potential from the design management perspective.

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Section: Introductionmentioning

confidence: 99%

Product innovation design process combined Kano and TRIZ with AD: Case study

Rong,

Liu,

et al. 2024

PLoS ONE

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“…Some emotional design methods explore the user's emotional image information and converts it into product design elements. Kansei engineering (KE) is the most reliable and useful in dealing with the user's emotional needs [7], and many scholars have applied this method in industrial fields such as automobiles [8], clothing, furniture [9], mobile phones [10], computers [11] and electric bicycles [12]. Scholars have been using the KE method to study the relationship between physical attributes and emotions [13]; the current research of KE mainly focuses on the aspects of constructing relevant research theories and methods with the help of various smart tools to solve the emotional reactions between individuals and products.…”

Section: Introductionmentioning

confidence: 99%

Creativity and Sustainable Design of Wickerwork Handicraft Patterns Based on Artificial Intelligence

Wang

Liu

2023

Sustainability

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Protecting and inheriting local traditional handicrafts and developing them into characteristic handicraft industries plays a certain role in maintaining social harmony and stability. This study proposes an innovative design method for wickerwork patterns to achieve the sustainable development of wickerwork handicraft culture. In order to accurately grasp the emotional perception law of wickerwork handicraft patterns and creatively generate wickerwork pattern design schemes in accordance with the user’s emotional preference, a wickerwork pattern design method based on deep learning is proposed. Firstly, the image recognition model of the Funan wickerwork patterns is established by using the ResNet. The experimental results show that the best recognition rate of ResNet34 for the whole pattern design image dataset is 94.36%, the recognition rate of modern patterns is 95.92%, and the recognition rate of traditional wickerwork patterns is 93.45%. Secondly, based on deep convolution generative adversarial network (DCGAN), a design scheme generation model of Funan wickerwork patterns is built. DCGAN can automatically and creatively generate pattern design schemes that can effectively stimulate consumers’ emotional feelings. Finally, the designer uses creative pictures as a source of inspiration, innovates the design of the generated images, and designs wickerwork patterns with exquisite personality. This proposed method will increase the diversity of patterns and promote the sustainable development of traditional wickerwork techniques. Moreover, this proposed method can help design companies identify customers’ psychological needs and support designers in innovatively and efficiently creating new cultural innovation design solutions.

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“…The consumption pattern in today's product-consuming market has moved from a rational desire for product function to a psychological demand for emotional expression [1].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Image Optimization of Product Appearance Based on Improved NSGA-Ⅱ

Ao,

Lv,

Xie

et al. 2023

Computers, Materials &Amp; Continua

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A second-generation fast Non-dominated Sorting Genetic Algorithm product shape multi-objective imagery optimization model based on degradation (DNSGA-II) strategy is proposed to make the product appearance optimization scheme meet the complex emotional needs of users for the product. First, the semantic differential method and K-Means cluster analysis are applied to extract the multi-objective imagery of users; then, the product multidimensional scale analysis is applied to classify the research objects, and again the reference samples are screened by the semantic differential method, and the samples are parametrized in two dimensions by using elliptic Fourier analysis; finally, the fuzzy dynamic evaluation function is used as the objective function of the algorithm, and the coordinates of key points of product contours Finally, with the fuzzy dynamic evaluation function as the objective function of the algorithm and the coordinates of key points of the product profile as the decision variables, the optimal product profile solution set is solved by DNSGA-II. The validity of the model is verified by taking the optimization of the shape scheme of the hospital connection site as an example. For comparison with DNSGA-II, other multi-objective optimization algorithms are also presented. To evaluate the performance of each algorithm, the performance evaluation index values of the five multi-objective optimization algorithms are calculated in this paper. The results show that DNSGA-II is superior in improving individual diversity and has better overall performance.

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Rough Kansei Mining Model for Market-Oriented Product Design

Cited by 13 publications

References 23 publications

Product innovation design process combined Kano and TRIZ with AD: Case study

Product innovation design process combined Kano and TRIZ with AD: Case study

Creativity and Sustainable Design of Wickerwork Handicraft Patterns Based on Artificial Intelligence

Multi-Objective Image Optimization of Product Appearance Based on Improved NSGA-Ⅱ

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