Since the earliest Kansei works saw the light more than 30 years ago, the Kansei has boomed exponentially. Because of many and various achieved business successes by different working groups as well as the methodology...Since the earliest Kansei works saw the light more than 30 years ago, the Kansei has boomed exponentially. Because of many and various achieved business successes by different working groups as well as the methodology geographical dispersion throughout the world. Multi-faceted Kansei has been developed for the last 20 years in a very wide and varied way. The Kansei has experienced as if talking of a tree, a branching experience still going on nowadays. Today we can speak from Kansei in theory, Kansei emotion measurement, Kansei engineering, Kansei information, Kansei education, Kansei design to Kansei in practice and many other disciplines. Three years ago, our team started the experience to introduce Kansei in the educational atmosphere, applying it to the final degree projects. In the School of Building Engineering at the Universitat Polit^cnica de Valencia and inside its final degree project proposal, a workshop on Kansei engineering was offered. During these years at the eighth semester of the building engineer degree, students have been working for almost five months under the supervision of a team of teachers on their final project till the final public oral defense was made in front of a committee. During these years, we have worked with an average of 10 students per year. Some have successfully completed their final projects, others have not achieved the minimum required. The article aims to explain the experience during the last three years the team has accumulated in Kansei education, and can be of interest for every teacher or lecturer.展开更多
Kansei engineering, also known as k, unsei ergonomics or emotional engineering, aims at analysing and incorporating customer＇s feeling and demands into product function and product design. Founded in the late 1970＇s...Kansei engineering, also known as k, unsei ergonomics or emotional engineering, aims at analysing and incorporating customer＇s feeling and demands into product function and product design. Founded in the late 1970＇s, kansei is now considered as a key consumer-oriented technology for new product development. This paper described a system called FuzEmotion for the purpose of assessing the kansei aspects of a product by considering design attributes of a product. Fuzzy logic is used to represent kansei words and process fuzzy input. The system has been successfully implemented to ascertain gender inclination of a mobile phone. Principal parameters of a mobile phone are considered, i.e., length, width, thickness, and mass. The system can inform gender inclination of a mobile phone with accuracy up to 76 %. This is based on a set of 92 mobile phone samples from the five major mobile phone manufacturers.展开更多
A large number of 3D models are created on computers and available for networks. Some content-based retrieval technologies are indispensable to find out particular data from such anonymous datasets. Though several sha...A large number of 3D models are created on computers and available for networks. Some content-based retrieval technologies are indispensable to find out particular data from such anonymous datasets. Though several shape retrieval technologies have been developed, little attention has been given to the points on human＇s sense and impression （as known as Kansei） in the conventional techniques, In this paper, the authors propose a novel method of shape retrieval based on shape impression of human＇s Kansei. The key to the method is the Gaussian curvature distribution from 3D models as features for shape retrieval. Then it classifies the 3D models by extracted feature and measures similarity among models in storage.展开更多
This study investigated the relationship between a subject’s evaluation of injection molding machines (IMMs) and formal design features using Kansei engineering. This investigation used 12 word pairs to evaluate the ...This study investigated the relationship between a subject’s evaluation of injection molding machines (IMMs) and formal design features using Kansei engineering. This investigation used 12 word pairs to evaluate the IMM configurations and employed the semantic differential method to explore the perception of 60 interviewees of 12 examples. The relationship between product feature design and corresponding words was derived by multiple regression analysis. Factor analysis reveals that the 12 examples can be categorized as two styles—advanced style and succinct style. For the advanced style, an IMM should use a rectangular form for the clamping-unit cover and a full-cover for the injection-unit. For the succinct style, the IMM configuration should use a beveled form for the safety cover and a vertical rectangular form for the clamping-unit cover. Quantitative data and suggested guidelines for the relationship between design features and interviewee evaluations are useful to product designers when formulating design strategies.展开更多
Aiming at the defects of the products available on the market at present and basing on the Kansei Engineering and Ergonomics, a new kind of student apartment bed which can prove its humanity more clearly is designed, ...Aiming at the defects of the products available on the market at present and basing on the Kansei Engineering and Ergonomics, a new kind of student apartment bed which can prove its humanity more clearly is designed, and its design direction is gotten through the questionnaire and the design starts from the real actual needs of students. After the original design was finished, the later investigation on the students was engaged with and made the engineering analysis. The conclusion is that the sum of ＂perfect＂ and ＂good＂ membership rates is up to 64%, hence the comprehensive assessment of the design is perfect. That is to say, this design is able to realize and meet the needs of users, and there is no doubt that it will have a good business prospects.展开更多
Consumers’ emotion has become imperative in product design. In affective design field, Kansei Engineering (KE) has been recognized as a technology that enables discovery of consumer’s emotion and formulation of guid...Consumers’ emotion has become imperative in product design. In affective design field, Kansei Engineering (KE) has been recognized as a technology that enables discovery of consumer’s emotion and formulation of guide to design products that win consumers in the competitive market. Albeit powerful technology, there is no rule of thumb in its analysis and interpretation process. KE expertise is required to determine sets of related Kansei and the significant concept of emotion. Many research endeavours become handicapped with the limited number of available and accessible KE experts. This work is performed to simulate the role of experts with the use of Natphoric algorithm and thus provides solution to the complexity and flexibility in KE. The algorithm is designed to learn the process by implementing training datasets taken from previous KE research works. A framework for automated KE is then designed to realize the development of automated KE system.展开更多
Product form has become an important communication medium between designers and consumers.Therefore,the collection and analysis of consumer evaluation of products can provide an important reference index for product f...Product form has become an important communication medium between designers and consumers.Therefore,the collection and analysis of consumer evaluation of products can provide an important reference index for product form design.In this paper,purpleclay teapot was taken as an example and comments of Tmall consumers were collected through web crawler,and the product image vocabulary was extracted to analyze the needs of users.Using the research method of Kansei Engineering,the semantic space of the modeling and image of purple-clay teapot was established,and the relationship between the modeling elements and the image of purple-clay teapot was searched,which could provide valuable reference for the modeling design of purple-clay teapot.展开更多
This paper describes an application where a new KAE （Kansei/Affective Engineering） system was applied to define the properties of the facial images perceived as Iyashi. Iyashi is a Japanese word used to describe a p...This paper describes an application where a new KAE （Kansei/Affective Engineering） system was applied to define the properties of the facial images perceived as Iyashi. Iyashi is a Japanese word used to describe a peculiar phenomenon that is mentally soothing, but is yet to be clearly defined. Instead of analyzing facial expressions of an individual to determine his emotional state, the proposed system introduces a FQHNN （fuzzy-quantized holographic neural network） to find the rules involved in the Kansei evaluation provided by the subjects about the limited dataset of 20 facial images. In order to validate and gain a clear insight into the rules involved in the Kansei evaluation process, Procrustes analysis and CSRBFs （compactly-supported radial basis functions） are combined to generate new facial images. Procrustes analysis is used to find the minimal dissimilarity measure between two facial images with opposite classification （i.e., Iyashi and Non-lyashi）. CSRBFs are proposed for tuning of 17 facial parameters and mapping between facial images within opposite classes. The experiments with two subjects demonstrate that if only two from the five most important parameters of the face are changed, then the Kansei evaluation can change to the opposite class. This paper shows that a continuous and efficient tuning of the design space can be achieved by introducing CSRBF mapping into the new KAE system.展开更多
This paper argues that agent-based simulation can be used as a way for testing Kansei Engineering methods which deal with the human reaction from sensory to mental state, that is, sensitivity, sense, sensibility, feel...This paper argues that agent-based simulation can be used as a way for testing Kansei Engineering methods which deal with the human reaction from sensory to mental state, that is, sensitivity, sense, sensibility, feeling, esthetics, emotion affection and intuition. A new fuzzy linear quantification method is tested in an artificial world by agent-based modeling and simulations, and the performance of the fuzzy linear method is compared with that of a genetic algorithm. The simulations can expand people＇s imagination and enhance people＇s intuition that the new fuzzy linear quantification method is effective.展开更多
文摘Since the earliest Kansei works saw the light more than 30 years ago, the Kansei has boomed exponentially. Because of many and various achieved business successes by different working groups as well as the methodology geographical dispersion throughout the world. Multi-faceted Kansei has been developed for the last 20 years in a very wide and varied way. The Kansei has experienced as if talking of a tree, a branching experience still going on nowadays. Today we can speak from Kansei in theory, Kansei emotion measurement, Kansei engineering, Kansei information, Kansei education, Kansei design to Kansei in practice and many other disciplines. Three years ago, our team started the experience to introduce Kansei in the educational atmosphere, applying it to the final degree projects. In the School of Building Engineering at the Universitat Polit^cnica de Valencia and inside its final degree project proposal, a workshop on Kansei engineering was offered. During these years at the eighth semester of the building engineer degree, students have been working for almost five months under the supervision of a team of teachers on their final project till the final public oral defense was made in front of a committee. During these years, we have worked with an average of 10 students per year. Some have successfully completed their final projects, others have not achieved the minimum required. The article aims to explain the experience during the last three years the team has accumulated in Kansei education, and can be of interest for every teacher or lecturer.
文摘Kansei engineering, also known as k, unsei ergonomics or emotional engineering, aims at analysing and incorporating customer＇s feeling and demands into product function and product design. Founded in the late 1970＇s, kansei is now considered as a key consumer-oriented technology for new product development. This paper described a system called FuzEmotion for the purpose of assessing the kansei aspects of a product by considering design attributes of a product. Fuzzy logic is used to represent kansei words and process fuzzy input. The system has been successfully implemented to ascertain gender inclination of a mobile phone. Principal parameters of a mobile phone are considered, i.e., length, width, thickness, and mass. The system can inform gender inclination of a mobile phone with accuracy up to 76 %. This is based on a set of 92 mobile phone samples from the five major mobile phone manufacturers.
文摘A large number of 3D models are created on computers and available for networks. Some content-based retrieval technologies are indispensable to find out particular data from such anonymous datasets. Though several shape retrieval technologies have been developed, little attention has been given to the points on human＇s sense and impression （as known as Kansei） in the conventional techniques, In this paper, the authors propose a novel method of shape retrieval based on shape impression of human＇s Kansei. The key to the method is the Gaussian curvature distribution from 3D models as features for shape retrieval. Then it classifies the 3D models by extracted feature and measures similarity among models in storage.
文摘This study investigated the relationship between a subject’s evaluation of injection molding machines (IMMs) and formal design features using Kansei engineering. This investigation used 12 word pairs to evaluate the IMM configurations and employed the semantic differential method to explore the perception of 60 interviewees of 12 examples. The relationship between product feature design and corresponding words was derived by multiple regression analysis. Factor analysis reveals that the 12 examples can be categorized as two styles—advanced style and succinct style. For the advanced style, an IMM should use a rectangular form for the clamping-unit cover and a full-cover for the injection-unit. For the succinct style, the IMM configuration should use a beveled form for the safety cover and a vertical rectangular form for the clamping-unit cover. Quantitative data and suggested guidelines for the relationship between design features and interviewee evaluations are useful to product designers when formulating design strategies.
基金Supported by Beijing Higher Education Young Elite Teacher Project(No.YETP0369)Fundamental Research Funds for the Central Universities(FRF-TP-14-033A2)
文摘Aiming at the defects of the products available on the market at present and basing on the Kansei Engineering and Ergonomics, a new kind of student apartment bed which can prove its humanity more clearly is designed, and its design direction is gotten through the questionnaire and the design starts from the real actual needs of students. After the original design was finished, the later investigation on the students was engaged with and made the engineering analysis. The conclusion is that the sum of ＂perfect＂ and ＂good＂ membership rates is up to 64%, hence the comprehensive assessment of the design is perfect. That is to say, this design is able to realize and meet the needs of users, and there is no doubt that it will have a good business prospects.
文摘Consumers’ emotion has become imperative in product design. In affective design field, Kansei Engineering (KE) has been recognized as a technology that enables discovery of consumer’s emotion and formulation of guide to design products that win consumers in the competitive market. Albeit powerful technology, there is no rule of thumb in its analysis and interpretation process. KE expertise is required to determine sets of related Kansei and the significant concept of emotion. Many research endeavours become handicapped with the limited number of available and accessible KE experts. This work is performed to simulate the role of experts with the use of Natphoric algorithm and thus provides solution to the complexity and flexibility in KE. The algorithm is designed to learn the process by implementing training datasets taken from previous KE research works. A framework for automated KE is then designed to realize the development of automated KE system.
文摘Product form has become an important communication medium between designers and consumers.Therefore,the collection and analysis of consumer evaluation of products can provide an important reference index for product form design.In this paper,purpleclay teapot was taken as an example and comments of Tmall consumers were collected through web crawler,and the product image vocabulary was extracted to analyze the needs of users.Using the research method of Kansei Engineering,the semantic space of the modeling and image of purple-clay teapot was established,and the relationship between the modeling elements and the image of purple-clay teapot was searched,which could provide valuable reference for the modeling design of purple-clay teapot.
文摘This paper describes an application where a new KAE （Kansei/Affective Engineering） system was applied to define the properties of the facial images perceived as Iyashi. Iyashi is a Japanese word used to describe a peculiar phenomenon that is mentally soothing, but is yet to be clearly defined. Instead of analyzing facial expressions of an individual to determine his emotional state, the proposed system introduces a FQHNN （fuzzy-quantized holographic neural network） to find the rules involved in the Kansei evaluation provided by the subjects about the limited dataset of 20 facial images. In order to validate and gain a clear insight into the rules involved in the Kansei evaluation process, Procrustes analysis and CSRBFs （compactly-supported radial basis functions） are combined to generate new facial images. Procrustes analysis is used to find the minimal dissimilarity measure between two facial images with opposite classification （i.e., Iyashi and Non-lyashi）. CSRBFs are proposed for tuning of 17 facial parameters and mapping between facial images within opposite classes. The experiments with two subjects demonstrate that if only two from the five most important parameters of the face are changed, then the Kansei evaluation can change to the opposite class. This paper shows that a continuous and efficient tuning of the design space can be achieved by introducing CSRBF mapping into the new KAE system.
文摘This paper argues that agent-based simulation can be used as a way for testing Kansei Engineering methods which deal with the human reaction from sensory to mental state, that is, sensitivity, sense, sensibility, feeling, esthetics, emotion affection and intuition. A new fuzzy linear quantification method is tested in an artificial world by agent-based modeling and simulations, and the performance of the fuzzy linear method is compared with that of a genetic algorithm. The simulations can expand people＇s imagination and enhance people＇s intuition that the new fuzzy linear quantification method is effective.
