设计2026，Vol.39Issue(1)：56-61,6.
基于感性意象和AIGC的高铁客室风格设计研究
RESEARCH ON HIGH-SPEED TRAIN PASSENGER COMPARTMENT STYLE DESIGN BASED ON AFFECTIVE IMAGERY AND AIGC
摘要
Abstract
To reveal the characteristics of users'kansei image regarding intelligent high-speed rail cabins and their association with travel preferences,thereby constructing a differentiated design framework.A dual text corpus was constructed.Techniques including word frequency analysis,user surveys,Semantic Differential(SD)method,and factor-cluster analysis were employed to extract kansei image vocabulary and map it to user preferences.AI-generated designs were validated using a LoRA model.Based on corpus mining and large-scale user surveys,seven pairs of core kansei style labels were refined,representing the association between user aesthetic preferences and travel scenarios.A differentiated design framework was constructed.The study demonstrates that the kansei image-driven design framework,integrated with AIGC technology,significantly enhances the precision and generation efficiency of design solutions.It provides a data-driven innovative paradigm to address issues such as ambiguous aesthetic positioning and lagging user demand response in intelligent cabin design,effectively promoting the synergistic optimization of functionality and aesthetics.关键词
高铁客室设计/感性意象/用户偏好/风格标签/语义差异量表Key words
High-speed rail passenger compartment design/Sensory imagery/User preferences/Style labels/Semantic differential scales分类
通用工业技术引用本文复制引用
周瑞琪,支锦亦..基于感性意象和AIGC的高铁客室风格设计研究[J].设计,2026,39(1):56-61,6.基金项目
国家社会科学基金艺术学重大项目"信息时代智能化设计创新方法论研究"(项目批准号:22ZD17) （项目批准号:22ZD17）
国家重点研发计划项目(2022YFB4301202) （2022YFB4301202）
