{"title":"使用计算设计方法理解时尚产品的设计个性化:对消费者感知的实际见解","authors":"E. Yang, J. Lee","doi":"10.1080/17569370.2022.2062139","DOIUrl":null,"url":null,"abstract":"Abstract This paper explores user perceptions of the design personalization of fashion products using a computational design method from the designer’s point of view. As for the research methodology, ten participants were asked to design textile patterns for their own fashion clutch bags by using a design personalization tool developed using Generative Design Methods (GDM), one of the computational design methods for personalizing product design. Subsequently, in-depth interviews were conducted to collect consumer thoughts on the aforementioned design personalization experience. Their central cognitive nodes were analyzed based on the means-end chain (MEC) model. The hierarchical value analysis results of the MEC model showed core linkages among the attributes, consequences, and values levels that participants perceived prominently for a given design personalization experience. The primary cognitive paths for consumers mainly focused on hedonic values and satisfaction as a destination, triggered by inspiring and fun design experiences, as well as solving design problems for non-professionals provided by GDM-based design personalization processes. This study’s findings can provide practical insights and guidance for designers and service planners to understand how their ideas can be placed in the consumer market while planning and designing digital design personalization services.","PeriodicalId":44329,"journal":{"name":"Fashion Practice-The Journal of Design Creative Process & the Fashion Industry","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the Design Personalization of Fashion Products Using Computational Design Methods: Practical Insights into Consumer Perceptions\",\"authors\":\"E. Yang, J. Lee\",\"doi\":\"10.1080/17569370.2022.2062139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper explores user perceptions of the design personalization of fashion products using a computational design method from the designer’s point of view. As for the research methodology, ten participants were asked to design textile patterns for their own fashion clutch bags by using a design personalization tool developed using Generative Design Methods (GDM), one of the computational design methods for personalizing product design. Subsequently, in-depth interviews were conducted to collect consumer thoughts on the aforementioned design personalization experience. Their central cognitive nodes were analyzed based on the means-end chain (MEC) model. The hierarchical value analysis results of the MEC model showed core linkages among the attributes, consequences, and values levels that participants perceived prominently for a given design personalization experience. The primary cognitive paths for consumers mainly focused on hedonic values and satisfaction as a destination, triggered by inspiring and fun design experiences, as well as solving design problems for non-professionals provided by GDM-based design personalization processes. This study’s findings can provide practical insights and guidance for designers and service planners to understand how their ideas can be placed in the consumer market while planning and designing digital design personalization services.\",\"PeriodicalId\":44329,\"journal\":{\"name\":\"Fashion Practice-The Journal of Design Creative Process & the Fashion Industry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fashion Practice-The Journal of Design Creative Process & the Fashion Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17569370.2022.2062139\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"N/A\",\"JCRName\":\"HUMANITIES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fashion Practice-The Journal of Design Creative Process & the Fashion Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17569370.2022.2062139","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"N/A","JCRName":"HUMANITIES, MULTIDISCIPLINARY","Score":null,"Total":0}
Understanding the Design Personalization of Fashion Products Using Computational Design Methods: Practical Insights into Consumer Perceptions
Abstract This paper explores user perceptions of the design personalization of fashion products using a computational design method from the designer’s point of view. As for the research methodology, ten participants were asked to design textile patterns for their own fashion clutch bags by using a design personalization tool developed using Generative Design Methods (GDM), one of the computational design methods for personalizing product design. Subsequently, in-depth interviews were conducted to collect consumer thoughts on the aforementioned design personalization experience. Their central cognitive nodes were analyzed based on the means-end chain (MEC) model. The hierarchical value analysis results of the MEC model showed core linkages among the attributes, consequences, and values levels that participants perceived prominently for a given design personalization experience. The primary cognitive paths for consumers mainly focused on hedonic values and satisfaction as a destination, triggered by inspiring and fun design experiences, as well as solving design problems for non-professionals provided by GDM-based design personalization processes. This study’s findings can provide practical insights and guidance for designers and service planners to understand how their ideas can be placed in the consumer market while planning and designing digital design personalization services.
期刊介绍:
Fashion Practice fills this major gap by providing a much-needed forum for topics ranging from design theory to the impact of technology, economics and industry on fashion practice. Interdisciplinary and wide ranging, Fashion Practice addresses the entire business of fashion, including: innovation in fashion design and practice sustainability and ethics within the industry micro- and nano-technologies within the fashion context “smart” textiles and digital fashion materials, design, concepts and process fashion consumption and production from retail/e-tail to performance fashion new developments in fashion and clothing retail.