RETRACTION: Convolutional Neural Network Models Combined with Kansei Engineering in Product Design

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.

Product design must not only consider basic functionality, but also pay attention to consumers' perceptual demands. This thesis takes product form as the research object and bicycle form design as the breakthrough point to study the product form design method based on Kansei Engineering. This paper first establishes a library of bicycle perceptual imagery space and morphological features based on the theory of Kansei Engineering in product design. Also establish a quantitative relationship model between the two through quantitative theory, and give guiding suggestions on the evaluation of perceptual imagery of product form design. Then an adaptation function is established based on the prediction model of Kansei Engineering, and an iterative algorithm of product form based on Kansei Engineering is proposed. It provides a theoretical basis for the subsequent design of bike-sharing.

Cost Control Application Research of Value Engineering in the Design Phase of Construction Project

Background In this article, we provide two views on product design engineering education of two design educators from Korea and Australia. We argue that industrial design and engineering design need to be combined in order to support a total design philosophy that aims to improve design education. Therefore, the changing direction of design education for a total design perspective — and Korean and Australian design education — including industry situations are discussed. Product design education in Korea has focused on developing the physical appearance of a product. The concept of engineering design was recently introduced in Korea, and most design schools still belong to art schools. Nowadays, Korean industry is required to develop new businesses in the manufacturing sector, as the industry is facing the situation where ‘fast follower’ strategy does not work for sustained growth and ultimately sustained success. This has grabbed the attention of product design engineers who can develop creative designs and materialize the concepts. In contrast, Australia is facing the end of a mining boom as well as a significant decline in automotive manufacturing. This has forced industry to challenge innovation in manufacturing which has generally been made up of SMEs. As such, the role of product design engineering is emphasized. We conclude that product design engineering education with industrial design and mechanical engineering can be primitive to strengthen the competitiveness of the manufacturing industry in both countries. Methods The views provided in this article were assembled from the existing literature, and based on our current experience of running design engineering convergence education programs in undergraduate and graduate levels. In general, the arguments made in this article are not attracted from theoretical and empirical research. They are rather based on our own perspectives of design engineering education. Thus, the views can be more critically based on holistic analyses of industry situations. Results & Conclusions In this article, we examine that how a strong and well-defined product design engineering program within a university context can add significant value to the industry. Product design engineering is a hybrid program that combines analytical engineering sciences with creative industrial design capabilities. It provides a platform that can reshape product offerings for companies that seek to diversify or expand into new markets. Product design engineering links seamlessly toward current industry needs by producing creative design engineers at the forefront of innovation and new product development.

Accurately grasping users’ Kansei needs and rapidly transforming them into product design solutions are key factors in enhancing product competitiveness and sustainability. This paper proposes a product appearance design method based on Kansei engineering and AI image generation technology, integrating other approaches, with household indoor hydroponics as the research subject. First, the web crawler is used to obtain product image samples and user online reviews, and factor analysis (FA) is applied to quickly extract users’ Kansei needs. Second, product morphology is used to deconstruct and encode product appearances. Partial least squares regression (PLSR) is then employed to map and quantify the relationships between Kansei needs and design elements, yielding optimal design solutions and one-dimensional sketches. These sketches are subsequently used as controlled conditions in Stable Diffusion (SD), combined with a team-trained Lora model, to generate two-dimensional colored sketches in batches. Finally, evaluations verify that the generated design solutions are satisfactory and meet users’ Kansei needs. The results indicate that the proposed product appearance design method not only holds significant implications for the sustainable development of Kansei engineering in product design but also greatly enhances the efficiency of the design process, providing new insights into integrating new technologies and scientific research methods in the field of product design.

Business innovation is one of the factors driving a company for providing values for stakeholders toward sustainable competitive advantages. The mentioned values vis-à- vis not merely internal stakeholders, but also external stakeholders. Subsequently, this paper elaborates grand theory within stakeholders theory. The mentioned sustainable competitive advantages are achieved through the disruptive innovation that revamps the constellation of sustainable competitive advantages. The disruptive innovation is implemented and intertwined through industry 4.0 that covers trilogy of physical, digital, and biology. Subsequently, the mentioned implementation is geared toward benefits of Making Indonesia 4.0 through Indonesia local wisdom and setting. Precisely, it further elaborates the Product Design Engineering (PDE). This PDE discipline incorporates the concept of its evolutionary theories from cognitive psychology; human factors in product design; Kansei engineering; emotional design; affective engineering; and user experience design. Keywords: affective engineering; cognitive psychology; disruptive innovation; Kansei engineering; user empathy

Individual products and models on the market must be specifically differentiated from the rest to meet user demand. In terms of consumer purchasing behaviour, consumers increasingly base their decisions on subjective terms or the impression that the product leaves on them, both in terms of functionality, usability, safety, and price adequacy, and regarding the emotions and feelings that it triggers in them. This demand has lead both Asia and Europe to implement new methodologies to develop new products, such as “emotional design” or Kansei engineering. This paper presents a systematic literature review (SLR) on the most relevant methodologies based on Kansei engineering and their relevant results in the specific discipline of product design, addressing these five questions: (RQ1) How many studies on KE and emotional design are there in the Scopus and Web of Science (WoS) databases from 1995 to February 2021? (RQ2) Which research topics and types of KE are addressed? (RQ3) Who is leading the research on KE and emotional design? (RQ4) What are the benefits and drawbacks of using and applying the methodology? (RQ5) What are the limitations of the current research? We analysed 87 studies focusing on the Kansei methodology used for product design and device technologies (e.g., shape design, actuators, sensors, structure) and aesthetic aspects (e.g., Kansei words selection, the quantification of measured emotions of results, and detected shortcomings), and provided the database with all the collected information. One identified and highlighted sector in the results is the electronic–technological-device sector. Results confirm that this type of methodology has a majority and direct application in these sectors, and they are widely represented in the automotive and electronics industries. Lastly, this SLR provides researchers with a guide for comparative emotional-design work, and facilitates future designers who want to implement emotional design in their work by selecting the specific type according to the results of the SLR.

Lower costs and higher employee satisfaction are some of the benefits driving organizations to adopt dispersed and virtual working arrangements. Despite these advantages, product design engineering teams—those who develop physical products—have not widely adopted this working style due to perceived critical dependence on physical facilities and the belief that it is ineffective to communicate technical details virtually. This paper uses the mass shift in working conditions caused by the COVID-19 pandemic to explore the feasibility of virtual and distributed work in product design engineering. We conducted 20 semi-structured interviews with product design engineers working virtually to uncover current challenges of, and the beginning of promising strategies for, effective virtual engineering work. We categorize and analyze Tangible Design activities, Intangible Design activities, and Communication and Project Management activities throughout the product design process. Contrary to present opinions, we found that much of a product design engineer's work is realizable in a virtual and distributed setting. However, there are still many challenges, especially when attempting Tangible Design activities—those that require physical products and tools—from home. These challenges, missing from existing virtual product design engineering literature, include but are not limited to individuals’ lessened sense of accountability, fewer de-risking opportunities before product sign-off, and limited supervision of production staff. Product design engineers described novel strategies that emerged organically to mitigate these challenges, such as creating digital alternatives for engineering reviews and sign-offs and leveraging rapid prototyping. Recent advances in technology, an increased commitment to reducing environmental impact, and better work-life balance expectations from new generations of workers will only push society faster towards a distributed working model. Thus, it is critical that we use this opportunity to understand the existing challenges for distributed product design engineers, so that organizations can best prepare and become resilient to future shocks.

In today's highly competitive business environment, introducing a new product with expectation of high level of customer satisfaction is an intricate and immense challenge to the companies. Concurrent Engineering has a great deal of importance in design and development of new products in Indian automobile industry and is posing a big challenge to Indian firms in the wake of global ization. Success of concurrent engineering demands that major areas of product design and development of an organization are kept in focus concomitantly. The aim of the paper is to assess and establish the benefits of concurrent engineering in the new product desi gn and development. The survey presents its evaluation based on the data analysis using cumulative weighed average with the help of primary data which was collected through a pre-tested questionnaire. The findings reveal that the two wheeler manufacturing companies in India are realizing maximum benefits with the implementation of the concurrent engineering in new product design and development. The research further recommends that companies must focus on weak areas of design and development in order to enhance the productivity.

Products classification in emotional design using a basic-emotion based semantic differential method

Because unique shapes with beautiful curved surface can always bring us endless imagination, it was often taken into design by industrial designers. But the design engineers usually hesitate to adopt them because of the difficulties brought by the uncertainties behind of the endless imagination. In the automobile and related products design, this issue is particularly prominent. Application of reverse engineering technology enables the combination of designers` perceptual creating of product modeling and engineers` rational analysis on product modeling, thereby more directly and effectively conversion from conceptual modeling to CAD modeling, and then to improve the degree of freedom in design and shorten the development cycle of design. In this paper, with a case of car fender design as an example we discuss the application of reverse engineering in product design as an advanced design tool and method.

Emotional design is one of the most important methods in modern product design. It was highlighted after Donald A. Norman published his book Emotional design: why we love (or hate) everyday things. Emotional design addresses people’s needs and hopes which is in the center of the development of product design and product technology. Due to the lack of strong theoretical basis and quantitative analysis, many products can’t reach the goal of their designers with Emotional feelings, nor can consumer’s emotional understandings be similar to the designers’ emotional expectations. This paper analyzes the concept of emotional design and some difficulties which designers must to be faced in their emotional designing works, discusses on product shape design according to emotional design. On this basis, the Kansei engineering and emotional design methods are described in details.

Emotional design is one of the most important methods in modern product design. It was highlighted after Donald A. Norman published his book Emotional design: why we love (or hate) everyday things. Emotional design addresses people’s needs and hopes which is in the center of the development of product design and product technology. Due to the lack of strong theoretical basis and quantitative analysis, many products can’t reach the goal of their designers with Emotional feelings, nor can consumer’s emotional understandings be similar to the designers’ emotional expectations. This paper analyzes the concept of emotional design and some difficulties which designers must to be faced in their emotional designing works, discusses on product shape design according to emotional design. On this basis, the Kansei engineering and emotional design methods are described in details.

International audience

Today, product design has been much more complicated when compared with the past. Shorter product life cycle increased product development cost. In order to stay competitive in the market, a well-designed product should be able to not only meet functionality requirements, but also satisfy consumers’ psychological needs (or feelings). In this study, a rough set based kansei engineering decision support system was developed using Fuzzy AHP (Analytical Hierarchical Process) and PLS (Partial Least Square) approximations. Decision rules for 16 design samples were generated by orthogonal design. Twelve selected samples were tested whether the decision of customers were true or not related with the sample products in terms of taste of customers. We find that qualitative evaluations for product design in kansei engineering are more consistent with the results of consumers rather than quantitative evaluations.