文献类型：期刊文献

英文题名：Wheelchair Form Design Method Based on Grey Relational Analysis and Quantitative Theory Type I

作者：Cai, Weilin[1]; Zhou, Meiyu[1]; Wang, Yi[1]; Wang, Zhengyu[1]

机构：[1] School of Art Design and Media, East China University of Science and Technology, No. 130, Meilong Road, Xuhui District, Shanghai, 200237, China

年份：2026

卷号：2771 CCIS

起止页码：254

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20260419966745)

语种：英文

外文关键词：Behavioral research - Intelligent systems - Semantics - User centered design

摘要：In the product design and development process centered on user needs, it is crucial to deeply understand and meet users’ multidimensional emotional and image needs for product form. This study proposes a method that combines Kansei engineering (KE), grey relational analysis (GRA), and quantitative theory type I (QTT I) to more accurately capture and implement users’ Kansei needs for product form. Firstly, data is collected through the semantic difference method to quantify the semantic features of users’ perception of product form to reveal their explicit and implicit needs and provide essential data for subsequent analysis. Then, GRA is used to identify the correlation between design elements and users’ emotional needs and to determine the priority ranking of these elements to identify the design elements that are most critical in meeting user needs. Moreover, using the QTT I method to construct a mapping correlation model between product form design elements and Kansei imagery, determine the weight values of Kansei needs for each design element, to evaluate the importance of each design category. Finally, the entropy weight method and TOPSIS method are used to evaluate and prioritize the solutions, selecting the optimized design solution that best meets the multidimensional emotional needs of users. This study takes wheelchair design as an example to evaluate the feasibility and effectiveness of the proposed method. ? The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.