Kansei Design Research Articles

The current research status of Kansei engineering in the field of emotional clothing design

PurposeThis study provides a comprehensive overview of the research landscape of Kansei engineering (KE) within the domain of emotional clothing design. It explores the pivotal technologies, challenges and potential future directions of KE, offering application methodologies and theoretical underpinnings to support emotional clothing design.Design/methodology/approachThis study briefly introduces KE, outlining its overarching research methodologies and processes. This framework lays the groundwork for advancing research in clothing Kansei. Subsequently, by reviewing literature from both domestic and international sources, this research initially explores the application of KE in the design and evaluation of clothing products as well as the development of intelligent clothing design systems from the vantage point of designers. Second, it investigates the role of KE in the customization of online clothing recommendation systems and the optimization of retail environments, as perceived by consumers. Finally, with the research methodologies of KE as a focal point, this paper discusses the principal challenges and opportunities currently confronting the field of clothing Kansei research.FindingsAt present, studies in the domain of clothing KE have achieved partial progress, but there are still some challenges to be solved in the concept, technical methods and area of application. In the future, multimodal and multisensory user Kansei acquisition, multidimensional product deconstruction, artificial intelligence (AI) enabling KE research and clothing sales environment Kansei design will become new development trends.Originality/valueThis study provides significant directions and concepts in the technology, methods and application types of KE, which is helpful to better apply KE to emotional clothing design.

Investigating the User Experience Design of Home Ventilators Through the Lens of Kansei Engineering

Abstract Obstructive sleep apnea hypopnea syndrome (OSAHS) is a disease characterized by respiratory disorders, and its prevalence rate is on the rise worldwide. Home ventilator can replace or enhance the respiratory function of human body and alleviate the symptoms of OSAHS, and has become an important treatment, rehabilitation, and nursing equipment for patients. However, the existing products lack humanistic care in emotional level, which leads to negative emotions in the process of human–computer interaction. This study seeks to enhance the user experience of home ventilators by applying the principles of Kansei Engineering (KE). Through a principal component analysis of nine pairs of Kansei image adjectives associated with home ventilators, we concluded that users prefer home ventilators that are “friendly,” “technological,” “pleasant ,” “orderly ,” and “easy to understand.” These findings were utilized in the Kansei design of home ventilators. The effectiveness of these conclusions in improving the user experience of ventilators was subsequently validated using the PrEmo method.

Constructing a MOEA approach for product form Kansei design based on text mining and BPNN

Kansei Engineering (KE) is a product design method that aims to develop products to meet users’ emotional preferences. However, traditional KE faces the problem that the acquisition of Kansei factors does not represent the real consumers demands based on manual and reports, and using traditional methods to calculate relationship between Kansei factors and specific design elements, which can lead to the omission of key information. To address these problems, this study adopts text mining and backward propagation neural networks (BPNN) to propose a product form design method from a multi-objective optimization perspective. Firstly, Term Frequency-Inverse Document Frequency (TF-IDF) and WordNet are used to extract key user Kansei requirements from online review texts to obtain more accurate Kansei knowledge. Secondly, the BPNN is used to establish the non-linear relationship between product Kansei factors and specific design elements, and a preference mapping prediction model is constructed. Finally, BPNN is transformed into an iterative prediction value of non-dominated sorting genetic algorithm-II (NSGA-II), and the model is solved through multi-objective evolutionary algorithm (MOEA) to obtain the Pareto optimal solution set that satisfies the user’s multiple emotional needs, and the fuzzy Delphi method is used to obtain the best product form design scheme that meets the user’s multiple emotional images. Using the example of electric bicycle form design could show that this proposed method can effectively complete multi-objective product solutions innovation design.

Integrated Approach for Early Detection and Prevention of Abnormal Child Growth: A Kansei Design and Quality Function Deployment Study

Sustainable development aims to reduce inequalities, including health inequalities. Focusing on early identification and prevention of growth and developmental disorders, as advocated in the article, contributes to reducing health disparities, which is a key aspect of sustainability. This article delves into the significance of assessing an individual’s physique as an initial diagnostic method for evaluating well-being, addressing both physical and mental health aspects. Body mass index (BMI) is commonly used to assess anthropometric height/weight attributes, aiding in nutrition evaluation and categorization, contributing to the promotion of healthy lives and well-being. The focus lies on growth monitoring for infants and children. The stunting not only impacts mental and physical development but also contributes to lifelong health disparities. Indonesia ranks fifth in global stunting cases. The government aims to reduce stunting by 14% in 2024, employing specific nutritional interventions. Stunting’s consequences span increased illness rates, compromised growth and learning, susceptibility to diseases in adulthood, and diminished productivity. Early identification and prevention are essential, with Posyandu serving as a platform for community-driven health progress. Regarding the early detection of stunting, it is imperative to involve healthcare workers in the design process of growth monitoring tools and interventions. This ensures that these tools and interventions are practical and user-friendly in real-world scenarios. Utilizing user-centered design approaches like Kansei Design Thinking and Quality Function Deployment can lead to the development of more effective and engaging tools and interventions.

Kansei Design of Children’s Products Integrating FKM and BPNN - A Case Study of Children’s Microscope

Kansei Design of Children’s Products Integrating FKM and BPNN - A Case Study of Children’s Microscope

Classification Method for User Needs in Kansei Design Process Based on Evaluation Grid Method

This paper proposes a Kansei design process based on the evaluation grid method to realize a design that satisfies Kansei quality. Especially, this paper focuses on the way to classify users’ needs, which are obtained as a high-level concept in the evaluation structure. The obtained needs are classified based on the factor effects between the satisfaction level of each need and the overall product evaluation. Needs are classified into seven groups which contains Attractive Quality, Must-Be Quality, One-Dimensional Quality, which is based on Kano Model. This paper applies the proposed method to the mouse pad design problem.

Kansei design method based on product narrative design element analysis

Kansei design method based on product narrative design element analysis

Kansei design method based on product narrative design element analysis

To meet the emotional demands of consumers, designers must consider the emotional communication between products and consumers. We propose a Kansei design method based on product narrative element analysis using the design of a nightlight, considering Miao's solar drum culture as an example. Product position was clarified according to narrative design theory, and design elements were separated into product form and decorative elements. We selected the design elements based on the preferences of users via a combination of methods including eye movement tracking and user interviews. Information regarding the emotional preferences of the users was analysed using a clustering algorithm to fit a universal design scheme for guiding the Kansei product design. The analysis revealed different emotional preferences among similar consumers for the same design goal, and it could be used to determine the key design elements that would positively influence specific consumer behaviours and guide the design and development of new products.

Research on EEG-based Graphic User Interface Kansei Design Evaluation

Graphical user interface (GUI) is designed as the interaction medium between the user and the interface, and the perceptual experience of GUI design has been paid more and more attention by users. Based on the theory of perceptual engineering (KE), two groups of different visual style interfaces were taken as an example to record the EEG data when users watched two groups of visual interfaces, in order to explore the user’s perceptual imagery and perceptual experience for the visual interface. It aims to meet the user’s perceptual needs and provide an effective evaluation method and design basis for the graphical user interface design. Firstly, the EEG spectrogram and brain topographic maps were obtained by data analysis and processing. The results showed that the activity levels of the θ wave and α wave induced by the two groups of different visual style interfaces were significantly different. Secondly, this paper analyzed the user’s perceptual imagery with GUI perceptual design elements, and concluded that the perceptual design elements of GUI would affect the user’s cognitive interest and perceptual experience. GUI design should focus on the unity and coordination of perceptual design elements and perceptual imageries. Finally, it is concluded that the EEG-based perceptual design evaluation method can effectively evaluate the GUI visual interface.

Kansei design of consumer electronics product based on conceptual model

Kansei design of consumer electronics product based on conceptual model

Mining affective experience for a kansei design study on a recliner

As the technical performance of products progresses, it is becoming more important to design products that satisfy customers' affective experiences. Hence, many studies about Kansei engineering or Kansei design have been conducted to develop products that can satisfy customers' affective experiences. In the Kansei design method, it is important to select affective variables related to the design elements of the product in order to accurately grasp the emotions of customers. Therefore, this study seeks to develop an affective variable extraction methodology that can reflect users' implicit needs effectively and efficiently. In this study, users' affective variables were extracted from online reviews and classified using a self-organizing map (SOM). For verification, the study selected the Amazon e-commerce service and performed a product experiment on recliners. The experimental results show that the most frequently used affective variable in the use of recliners is ‘comfort’, which is related to various affective variables. In addition, 15 clusters for affective experiences of recliners extracted from Amazon.com were classified through the SOM. The findings suggest that text mining techniques and the SOM can be used to gather and analyze customers' affective experiences effectively and efficiently. The results of this study can also enhance an understanding of customers' emotions regarding recliners.

Kansei Design for Keystroke Operation of Keyboard by Utilizing Its System Model

Kansei Design for Keystroke Operation of Keyboard by Utilizing Its System Model

CGを利用した機器操作部の操作イメージ評価 : 感性デザイン支援システム(2)

CGを利用した機器操作部の操作イメージ評価 : 感性デザイン支援システム(2)

Interdependency between user experience and interaction: a Kansei design approach

The objective of this paper is to formalize and enrich the relation between user experience and interaction. Both a State of the Art and an Empirical Study are presented along this paper. It results in a theoretical model of design information that formalizes and highlights key principles of the interdependency between user experience and interaction in early design. The research is situated within a long-term work on Kansei design and later on Experience Design in the Kansei Design Division of Toyota Motor Europe. The method we used to conduct the empirical study consists in evaluating the cognitive and affective impacts of two user experiences and four interactive prototypes on 30 participants. In so doing, we highlighted key principles of interdependency presented as notions of consistency; temporality; intertwining; complementarity and immersibility. Such research aims to develop and strengthen an in-depth understanding of interaction from a user experience point of view, in order to make available different tools and methodologies for interaction’s creation and evaluation. This research can be of value for both researchers in cognitive psychology, user experience, interaction design, kansei design or design of emotions, and for designers, engineers or ergonomist from the industrial world.

Kansei Design Process Based on System Model of Consumer Electronics Products

Kansei Design Process Based on System Model of Consumer Electronics Products

Multilingual management technology for international Kansei design

Multilingual management technology for international Kansei design

Logistics service design for cross-border E-commerce using Kansei engineering with text-mining-based online content analysis

With the rapid development of cross-border e-commerce, the demand for and importance of cross-border logistics service (CBLS) also increase. A satisfactory CBLS can help promote business activities in cross-border e-commerce. Because customers’ logistical needs are increasingly complex and the logistics market is increasingly competitive, a CBLS provider has to be devoted to continually improving and differentiating services to maintain its competitive advantage. Kansei engineering (KE) is an approach to design the elements which satisfy customers’ affective and emotional perceptions into services and products. In this study, the KE approach is applied to derive ideas for the development of CBLS. For this purpose, Partial Least Squares (PLS) is used to analyze the relationships between the feelings of customers and service elements of CBLS. Moreover, this study demonstrates the applications of text mining techniques to analyze the online contents regarding CBLS. Online content mining assists in identifying the service elements and Kansei words for CBLS. Importantly, the relationship between the feelings of customers and service elements of CBLS obtained by online content mining provides complementary results for CBLS design.Relevance to industry: this study offers an exemplification on applying the integration of Kansei engineering and online content analysis to obtain ideas for the process Kansei design in service industry. Our findings imply that in addition to conventional customer survey, user generated online content analysis should be effective way of catching customer-oriented design elements; they provide complementary effects for Kansei design.

製品ハンドリングの重さ感に寄与する感性設計指標の研究

The objective of this paper is to create kansei design index that can estimate user’s weight perception while handling a product. In this paper, product handling means using to grip with one hand of user. Products that user can handle is separated by their shape, and also phase of product handling is separated as `seeing’, `griping’, and `using’. In order to take this into account, this paper observed the effect on user’s kansei of weight as putting the difference in the visual elements and the actual weight, and the influence of factors were observed that for create the index. Creating kansei design index makes it possible to observe change of influential parameters based on time and to index the parameters contributing to the kansei of weight on product handling.

期待効果を考慮したマルチモーダル感性設計法の研究

期待効果を考慮したマルチモーダル感性設計法の研究

Setting & Designing the Children Exclusive Toilet in Public Spaces

There are few toilets exclusively for children in many public spaces, especially those who are mainly designed for children such as playground, Children Theater, zoo, or recreation area in the park. This is quite a strange phenomenon but few people concern about it. It seems normal that children were deemed to be accessories of adults. This study is thinking about such issue and composing by two parts: Deliberation for the necessity of children toilet in the public space where children are main users as universal design mention and, conclusion of basic design principle for children toilet through the interactive consideration of human factor engineering, Kansei design, and public space design. It is based on the information of literature research and observation interview. There are some relevant suggestions from Kansei thinking were approved too.