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服装定制小程序用户界面消费需求导向研究 被引量:1

Consumer-oriented study on user interface demands in clothing customization mini programs
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摘要 面向服装大规模个性化定制模式,文章旨在探究用户对服装定制小程序用户界面(User Interface,UI)的使用需求,以提供有针对性的设计指导,增强服装定制类小程序的消费导向能力。文章借助KJ法、KANO分析法、熵值法将顾客消费需求归纳为23项需求要素,通过要素关联性评价转化需求要素为小程序客户端设计要素的优先级,以指导服装定制小程序UI设计。使用“即时设计”软件将设计要素应用为泳衣定制小程序UI方案,并采用眼动仪对泳衣定制和已知西服定制小程序进行视觉数据对比分析,结果表明泳衣定制小程序获得高于后者46.2%的“注视时长”。结合眼动数值和峰终分析,结果显示泳衣小程序的用户体验价值为33.06%,高于西服定制小程序26.47%,泳衣定制小程序在定制、下单等关键环节出现2次峰值,并以2次高峰收尾,西服定制小程序则以低峰结束。 Clothing sales channels are rapidly shifting towards online platforms,and there is a growing demand for personalized clothing customization among consumers.Mini programs,as an emerging business model,provide convenient and innovative channels for clothing customization.However,there is still room for improvement in the user experience of current clothing customization mini programs.As for the design and development of clothing customization mini programs,it is necessary to enhance their online and offline connectivity,user affinity,and to focus on practicality,application efficiency,customer engagement,and sustainable development of UI(User Interface)design.Therefore,this study aims to enhance the user experience of clothing customization mini programs by deeply investigating the relationship between consumer demands and program design elements.To obtain design element priorities that have universal guidance for clothing customization mini program design,we integrated the KJ method,KANO analysis,and entropy method.Customer consumption demands were categorized into 23 demand elements,which were then transformed into 15 design elements and their prioritized importance rankings for mini program client design.Subsequently,an“instant design”software was used to apply these design elements to a swimsuit customization mini program UI solution.In the validation phase,eye-tracking experiments were conducted by using eye-tracking equipment to compare the swimsuit customization mini program with a well-known suit customization mini program.The eye-tracking experimental data and subjective experience ratings were comprehensively analyzed by using IBM SPSS Statistics 21 software.Additionally,the Peak-End Rule was employed to perform Kendall correlation analysis on multiple eye-tracking indicators in the AOI(Area of Interest)regions and subjective experience ratings of the participants’perception of the two mini program pages.The“Net Dwell Time”was ultimately selected as a representative measure of participants’subjective experience value,and a user experience value map was created and analyzed to further improve the consumer-oriented capabilities of the mini program.During the research needs assessment phase,we conducted multi-level user research,continually selecting users with higher relevance in terms of cognitive,interest,and loyalty types.This ensures that the obtained opinions and feedback are more representative,and the extracted demand elements are more in-depth and professional.The research findings demonstrate that the consumer experience value of customization mini programs can be significantly enhanced through reasonable design element priorities and the introduction of new technologies such as VR and NFT.The analysis of eye-tracking data and the creation of user experience maps reveal consumers’gaze behavior and preferences towards mini program interfaces,providing valuable insights for UI content and structural design.The design element priority principles and eye-tracking experimental results proposed in this study have significant guiding implications for UI design and user experience of clothing customization mini programs.However,as market demands and technological advancements continue to evolve,in future research,it is necessary to keep pace and explore more advanced design methods and innovative features to continually enhance the user experience of clothing customization mini programs and meet the growing demand for personalization among consumers.
作者 高杨 杜劲松 朱建龙 赵国华 GAO Yang;DU Jinsong;ZHU Jianlong;ZHAO Guohua(College of Fashion and Design,Ministry of Education,Donghua University,Shanghai 200051,China;Key Laboratory of Clothing Design and Technology,Ministry of Education,Donghua University,Shanghai 200051,China;College of Textiles and Clothing,Xinjiang University,Urumqi 830046,China;Hailan HomeGroup Co.,Ltd.,Shanghai 200433,China;SAINT ANGELO Holdings Co.,Ltd.,Wenzhou 325102,China)
出处 《丝绸》 CAS CSCD 北大核心 2023年第11期96-102,共7页 Journal of Silk
关键词 大规模个性化定制 UI设计 KJ法 KANO模型 熵值法 眼动追踪 峰终定律 mass customization UI design KJ method KANO model entropy method eye tracking peak-end rule
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