Perceptual evaluation of female trench coat design based on Quantitative Theory I

In order to better explore people’s emotional appeals in the design of Application interface, this paper applies the quantitative deductive method of Kansei Engineering to the research of its optimization design. Firstly, questionnaire survey, cluster analysis and other methods are used to determine the design elements of APP interface and representative perceptual words, and then the semantic difference method is used to establish the relationship between the two, so as to carry out perceptual evaluation on representative APP interface samples. On this basis, qualitative analysis is used to explore the corresponding relationship between perceptual words and design elements. Finally, the validity of the conclusions obtained from the qualitative analysis is verified by the orthogonal analysis method, and the corresponding relationship between the consumer’s emotional demands and APP interface design elements is thus established.

Purpose The purpose of this paper is to study the style design methods of professional female vests that meet the emotional needs of consumers. Design/methodology/approach Using the theory of kansei engineering as a guide to screen representative samples of female professional vests and relevant emotional vocabularies of styles, through morphological analysis, style design elements of female professional vests are extracted, the fifth-order semantic difference questionnaire was used to establish the perceptual assessment matrix for design elements, the correlation analysis method and multiple linear regression analysis were used to analyze the results of the perceptual evaluation of the sample, find out the relationship between the perceptual vocabulary and design elements of professional female vest styles, and establish a regression model, finally, it is verified by random samples of the market, so as to guide the development of new products. Findings The seven design elements extracted from professional female vest styles have an impact on consumer perception, by using a linear analysis method, the correspondence between perceptual perception of consumers and style design elements can be quantified and a model can be established to accurately predict consumers’ perceptual intentions. Originality/value The application of perceptual engineering in the style design of professional female vests provides a new idea for the design of clothing styles. It helps garment companies and designers to determine the development direction of professional woman’s vest styles, while the research results provide design reference for other products.

The article examines the role of emotional web design in shaping brand perception and longterm user loyalty. Three levels of emotionality are distinguished: visceral level, behavioral level, and reflective level. The following are included in the visual elements as factors of emotionality: color as a mood tool, typography as a carrier of brand character, typography, images and photos, animation and interaction, emotional design and brand perception, and the impact of emotional web design on user loyalty. The mechanism of loyalty formation is highlighted: emotional UX; positive experience; brand memory; building trust; returning the consumer to the site; providing recommendations. The emotional design of websites varies significantly depending on the age characteristics of users, since emotional perception, cognitive abilities, and behavioral patterns change with age. It has been proven that the effectiveness of digital interfaces directly depends on the correspondence of emotional triggers to the age expectations of the audience. For younger audiences, positive emotions increase the time spent on the site and the level of memorization. For young people, emotional identification with the brand is important. For middleaged people, emotional design enhances trust and a sense of reliability. For older audiences, emotional comfort is a key factor in the adoption of digital technologies. The conditions for developing an effective emotional website design are highlighted: clear emotional intent; use of color schemes; selection of authentic visuals; addition of microinteractions; designing interfaces based on behavioral insights; ensuring consistency of style across all platforms; taking into account the cultural context; application of emotional analytics – eye-tracking, self-assessment to check the level of design impact. Emotional web design is an important strategic tool for shaping brand perception and increasing user loyalty. For marketers and UX specialists, it is important to consciously implement emotional design elements, based on the psychology of perception, empirical data and brand culture.

With improvement of people’s consumption level and the comprehensive promotion of the concept of low-carbon globalization, people’s demand for balanced vehicle has been upgraded from a single transportation function to personalization and service, and meeting people’s demand through service innovation is a hot research topic nowadays. Through the collection and analysis of a large number of related literatures, we find that domestic and foreign experts and scholars have done extensive research on the combination of Kansei Engineering and service design, but relatively few studies have been made on balanced vehicle service innovation. Based on this, this research plans to study and optimize the service of the balanced vehicle by combining Kansei Engineering and service design. Firstly, the user’s key perceptual images of the balanced vehicle are extracted by Kansei Engineering theory and principal component analysis. Second, according to the user’s perceptual demand for the product, sort out the corresponding service blueprint and user journey map. Finally, according to the different service stages of the product, the service design strategy of the product is summarized, and the service system of the product is optimized. Integrating users’ emotional demands into the optimization of product service design, it improves the service quality of different service stages of the product while effectively meeting users’ emotional demands, thus improving the user experience.KeywordsBalanced vehicleKansei engineeringService designUser experience

Development of Customer Oriented Product Design using Kansei Engineering and Kano Model: Case Study of Ceramic Souvenir

<p><strong>A common problem often encountered in sanitary napkin packaging is inadequate product protection. Failure to open or reseal the packaging and the use of materials that cannot be reused are complaints from 97% of consumers regarding sanitary napkin products currently on the market. This research aims to analyze packaging design elements according to consumer preferences. In this research, the Kansei Engineering and Rough Set methods were used. Kansei Engineering has the advantage of being able to translate consumer emotions into design elements. The design element analysis process is carried out using the Rough Set method. The research results obtained consumer emotions in the form of 19 Kansei words and 29 packaging samples as design references. Analysis of sanitary napkin packaging design elements obtained recommendations in the form of cardboard material, folding cardboard packaging type, no additional features, box body, opening type with flap, medium size, feminine design, script typography, and image elements in the form of pictures and illustrations. This research succeeded in proving Kansei Engineering's ability to produce packaging designs according to consumer preferences through quantitative data analysis<em>.</em></strong></p><p><strong><em>Keywords</em></strong> - <em>Model Kano, Rough Set, Design Element, Packaging</em></p>

With a strong competition and a strong consumer awareness of quality, manufacturers have to look hard at how to satisfy needs and expectations of potential new consumers. The only acceptable level of quality is total. In addition to the functional needs, affective and emotional needs have been recognized as having primary importance for consumer satisfaction and for creating innovative products. Kansei Engineering is a newly emerged product development technique to deal with consumers’ feelings and emotions and to incorporate these emotions into design elements during the product concept design phase.Kansei Engineering has enormous potentiality, nevertheless to be successful and really innovative, it needs to be integrated with the traditional methodologies for product design and to be supported by quantitative methods. The underlying aim of this research work is to minimize intuition in design decisions and to maximize the systematic use of statistical methods in product concept design phase. These methods can provide design team with the analytical tools for correctly plan experimental phases in Kansei Engineering and for analyzing the results in a reliable and efficient way. In particular, the advancements in Kansei Engineering and product concept design methods that this research has attempted to bring about were developed through five research mainstreams. The first research mainstream aimed at formalizing an integrated approach for incorporating both functional and emotional quality elements in product concept design. The proposed approach makes use of statistical methods, such as supersaturated design and ordinal logistic regression, for product concept arrangement and consumer data evaluation, while contemporarily emphasizing the use of virtual reality technology for consumer-designer interaction. Secondly, despite the large literature on the use of design of experiments for a statistically valid formulation of product concept, few works in the Kansei Engineering area make use of such tools. Therefore, the second research mainstream aimed at suggesting the most efficient design for Kansei Engineering experimentation. In particular the properties of saturated and supersaturated design are explored. The third research mainstream aimed at introducing a general methodology for filtering the biasing effect of global noise factors on consumers’ evaluation. These noise factors arise when real products -taken from market- are presented to consumers in place of physical or virtual prototypes. The proposed methodology is tested for applications in Kansei Engineering, as well as for marketing and medical research areas. The fourth research mainstream aimed at providing statistical evidence of the goodness of non-linear models such as Ordinal Logistic Regression and Categorical Regression for data coming from a Kansei Engineering experimentation. Moreover, differences between rating and ranking procedure are analytically explored. Lastly, since the predominant research paradigm in product concept design is to consider a product as a bundle of well-defined attributes, an innovative methods for estimating consumers’ attribute importance is discussed. It allows to overcome most of the problems with context, survey and cognitive variables, since it uses an indirect procedure hiding the true task to the respondent of a controlled interview. A multidisciplinary approach, with knowledge from cognitive psychology, behavioural science, psychometrics, consumer research and marketing science is throughout used. Moreover, this research was stimulated by practical needs and always considering statistics as the fuel for the engine of innovation. Most of the contributions in this thesis are, in fact, validated through case studies carried out in a strong-collaboration with industrial designers and final consumers.

Taking suit styles as a case study to make clear the orientation of suit design, this paper aims to explore the clothing design methods that is in line with customers’ emotional and functional needs. Based on the theoretical knowledge of Kansei engineering, this paper adopts such quantitative methods as morphological analysis, clustering methodology, factor analysis, method of semantic differential and regression analysis to conduct data processing and analysis with the help of Statistical Product and Service Solutions (SPSS), and analyze the relationship between emotional demand word pairs and design elements, thereby ultimately providing innovative and rational reference for suit design. The research results show that clothing design from the perspective of perceptual experience not only can extract design elements more accurately, effectively and reasonably, but also can provide new ideas for clothing design.KeywordsKansei engineeringMorphological analysisSuitRegression analysisConsumers’ evaluation

The work aims to analyze the design of palace lantern form features based on the Kansei engineering, where a linear regression model between the morphological elements and the perceptual image of the palace lantern were established. In Kansei engineering, representative samples and perceptual vocabulary of palace lantern were collected and extracted first. Then, from the view of structural parts, material, decorative pattern, color matching and other aspects, the design elements affecting palace lanterns were extracted comprehensively, and semantic difference (SD) was further applied to establish a perceptual evaluation matrix for design elements. Next, the SPSS software was used for data processing and analysis. To process the experimental data, quantitative type I theory was utilized to perform multiple regression analysis and construct the related mathematical models, as well as establishing the model relationship between the perceptual factors and the overall evaluation value so as to obtain the tendency of people's preference. Furthermore, the relationship between perceptual factors and design form elements was studied. Finally, the regression model of palace lanterns was established to guide the design processing of palace lanterns. Extensive experiment and research of palace lantern design demonstrate that the integration of perceptual engineering into the design of handicrafts can not only provides theoretical support for enterprises and craftsmen to determine the innovative design, but also opens up a new perspective for the redesign of other traditional crafts.

The role of government health websites as a source of referrals and credible health information is very important, especially now that everything is digital. People use the internet and make health websites as the first step in finding health information, government policies related to health, and public health services. So it is very important to consider the user aspect in designing the appearance of an appropriate health website. This study utilizes the Kansei Engineering KEPack type 1 in analyzing various emotional factors related to the e-government website interface in the health sector. So that it can be found that the psychological emotional factors of users are important and become the main recommendations in the design of the website interface. We are focuses on user preferences for the e-government site interface of the Karawang District Health Office with the Kansei Engineering Type I approach. The Kansei Engineering study was conducted to analyze various emotional factors related to the user interface by comparing 5 specimens of e-Government sites in the health sector. A total of 20 kansei words were identified which were then processed using the multivariate statistical method Cronbach's Alpha (CA), Coefficient Correlation Analysis (CCA), Factor Analysis (FA). The result is that 4 kansei words have a high influence and successfully present a matrix of design element recommendations with 7 main elements and 45 sub-criteria for specific design elements.

<div class="htmlview paragraph">Vehicle interior harmony has drawn increasing attention from customers in recent years. Kansei Engineering is an effective approach to quantify the relationship between design parameters and customer perceptions of the product. This article is a continuation of our previous study on commercial truck interior harmony. Herein, we investigated the customer perception of the visual aspects of commercial truck door interior design using classification methods. This article describes how these visual impressions are related to design elements using quantification theory, a commonly used method in Kansei Engineering. The results reveal that trim material, shape, color, window shape, and map pocket are design elements that strongly affect the perception of elegance and preferences of truck drivers. The results also showed a significant difference between the perception of the truck drivers and design engineers.</div>

Vehicle interior harmony has drawn increasing attention from customers in recent years. Kansei Engineering is an effective approach to quantify customers' perception of harmony, and to correlate it to design parameters of the products. Herein, we investigated the customer perception of the visual aspects of commercial truck door interior design using classification methods. This article describes how these visual impressions are related to design elements using quantification theory, a commonly used method in Kansei Engineering. The results reveal that trim material, shape, color, window shape, and map pocket are design elements that strongly affect the perception of “elegance” and preferences of truck drivers. The results also showed a significant difference between the perception of the truck drivers and that of design engineers.

Service robots (SRs) are increasingly deployed in commercial settings, yet the factors influencing their acceptance, particularly emotional design elements, remain understudied. This research investigates SR acceptance factors by integrating the technology acceptance model, the Computers Are Social Actors (CASA) framework, Kansei engineering (KE), and social presence theory (SPT) to examine how design elements influence user responses to SRs. Using structural equation modeling of survey data from 318 shoppers and hotel guests in China, we tested relationships between CASA attributes, emotional perceptions, social presence, and usage intention. The results revealed that communication style produced the strongest effects across all emotional dimensions, with cuteness and coolness directly influencing usage intention, while warmth and novelty operate through social presence mediation. Multi-group analysis identified significant gender differences in response patterns: male users prioritized communication-driven perceptions while female users responded more strongly to coolness attributes. These findings extend our understanding of acceptance factors in service robot adoption, highlighting the critical roles of emotional design, communication style, and gender differences, while suggesting differentiated design approaches for diverse user segments.

As users’ needs are changing and new technologies are developing at a faster rate than ever before, it is important to evaluate and update the design and mechanism of specific products based on various points and factors. This paper assessed the effectiveness of in-vehicle warning and assistance information design under reduced visibility driving conditions using the Kansei engineering methods. Various warning and assistance information design scenarios through in-vehicle head-up display (HUD) under the connected vehicle environments were collected and devised for the analysis. In order to determine the connection between the information features and design elements and the desired emotional needs of drivers in low visibility conditions, the Kansei engineering quantification Type I theory with two-level hierarchy structure and the partial least square-based Kansei engineering approaches were utilized. By analyzing the emotion dimensions and design category factors, the optimized in-vehicle HUD information designs were identified for different driver groups (i.e., all, male, and female participants) based on three driving scenarios considering changes of weather, real-time crash risk, and traffic conditions. On the basis of understanding the importance of collecting drivers’ needs and perceptions for different combinations of information technologies, the optimized information features and design elements could be appreciated.

Kansei Engineering: A new ergonomic consumer-oriented technology for product development