文献类型：期刊文献

英文题名：Visual Selective Attention Analysis for Elderly Friendly Fresh E-Commerce Product Interfaces

作者：Ye, Junnan[1];Han, Yueting[1];Li, Wenhao[1];Yang, Chaoxiang[1]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, Shanghai 200237, Peoples R China

年份：2025

卷号：15

期号：8

外文期刊名：APPLIED SCIENCES-BASEL

收录：;EI(收录号：20251718316206);WOS:【SCI-EXPANDED(收录号:WOS:001474743500001)】；

基金：This research was funded by the Humanities and Social Sciences Research Planning Youth Fund project of Ministry of Education of China (Project Number: 23YJC760144), the Shanghai Summit Discipline in Design (Project Number: DC19301), The Fundamental Research Funds for the Central Universities of China (Project Numbers: JKZ01212202, JKZ022023001), the Shanghai Pujiang Program (Project Number: 2020PJC025), and The Generative Design Talent Studio Project for Colleges and Universities of Shanghai Municipal Education Commission (Project Number: SZ2409Z0001).

语种：英文

外文关键词：visual selective attention; fresh e-commerce; age-friendly design; interactive interface; design methodology

摘要：Visual selective attention is a cognitive process by which humans efficiently process critical visual information. It reflects the user's authentic visual thinking and can be applied by designers in age-friendly design to enhance the user experience of elderly users, meeting their visual needs and attention characteristics. This has significant implications for the age-friendly design of fresh e-commerce product interfaces. This paper explores age-friendly design for fresh e-commerce product interfaces based on the theory of visual selective attention. Experimental data indicate that the optimized interface significantly enhances the user experience for elderly users, with task completion time reduced by 39.62% and satisfaction increased by 60%. First, qualitative research is conducted to uncover the visual selective attention mechanisms of elderly users. Combining this with the framework of fresh e-commerce products, an age-friendly design model is established, including page layout, brand colors, font size, and focal styles. Second, using eye-tracking, descriptive analysis, and correlation coefficient analysis, a comparative analysis of the visual selection behaviors of elderly and young users is conducted, yielding characteristics and principles for age-friendly interactive interface design. Finally, the feasibility and effectiveness of the proposed method are validated through design practice and evaluation. This research provides new insights and methods for the age-friendly design of fresh e-commerce product interfaces. It holds practical significance and value for constructing an elderly perspective in fresh e-commerce and expanding the private traffic of elderly users.