文献类型：期刊文献

英文题名：Multidimensional User Experience Analysis of Chinese Battery Electric Vehicles' Competition: An Integrated Association Mining Framework

作者：Gu, Quan[1];Zhang, Jie[1];Huang, Shengqing[1];Cai, Yuchao[1];Wang, Chenlu[1];Liu, Jiaoman[2]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, Shanghai 200237, Peoples R China;[2]Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China

年份：2024

卷号：14

期号：22

外文期刊名：APPLIED SCIENCES-BASEL

收录：;EI(收录号：20244917456939);WOS:【SCI-EXPANDED(收录号:WOS:001366769100001)】；

基金：This research was funded by the Major Project of the National Social Science Foundation of China (21 & ZD215); the National Social Science and Arts Foundation of China (20BH154).

语种：英文

外文关键词：battery electric vehicle; user experience; multidimensional analysis; domain-adaptive sentiment analysis; co-occurrence network analysis

摘要：This study introduces an integrative framework for association mining within the Chinese battery electric vehicle market, aiming to reveal key user experience (UX) factors and their interrelationships through multidimensional analysis. Utilizing latent Dirichlet allocation (LDA), the study discerned primary themes from user-generated content (UGC). The entropy weight method categorized level 2 factors, while domain-adaptive sentiment analysis quantified emotional responses to BEV user experience dimensions, highlighting significant sentiment disparities among competitors. Co-occurrence network analysis deepened insights into the emotional fabric of UX by exploring tertiary factor associations. Theoretically, this study advances a novel framework informed by Norman's UX theory, integrating analytical techniques to capture the complexity of UX. Practically, it delivers strategic guidance for BEV manufacturers by analyzing emotional polarities and attribute associations, guiding product innovation and responding to market dynamics. The empirical evidence corroborates the framework's efficacy in revealing the emotional associations within BEVUX factors, offering valuable implications for both theoretical development and practical application.