基于感性需求导向的AIGC新中式旗袍款式生成与验证研究

Research on the Generation and Verification of AIGC New Chinese Cheongsam Styles Based on Perceptual Demand Orientation

中文关键词: 感性需求  AIGC  新中式旗袍  款式生成  因子分析

英文关键词: perceptual demand  AIGC  new Chinese cheongsam  style generation  factor analysis

中文摘要:

      新中式旗袍作为融合传统韵味与现代审美的服饰，其设计创新对文化传承和消费需求具有重要意义。然而，当前设计存在同质化倾向，且缺乏科学高效的个性化设计方法。针对此问题，文章基于用户感性需求，聚焦于生成式人工智能(AIGC)，探索其在新中式旗袍评价与设计中的应用。通过调研筛选出8对感性评价形容词，基于20款新中式旗袍样本进行问卷调查，识别出“优雅的”为核心感性评价词，并运用因子分析提取出气质因子(端庄、时尚、性感)、外观因子(柔和)和性格因子(优雅)三个感性维度；进而将析出的关键感性因子作为提示词输入AIGC工具(如Midjourney、LookAI)，生成方案中襟型、领型与袖型要素的显著变化验证了样本要素确立的可行性，为新中式旗袍的个性化设计提供了科学的方法和参考。

英文摘要:

      As a costume integrating traditional charm and modern aesthetics, the innovative design of new Chinese cheongsam is of great significance to cultural inheritance and consumer demand. However, the current design has a tendency of homogenization and lacks a scientific and efficient personalized design method. To solve this problem, based on users' perceptual needs, this paper focuses on generative artificial intelligence (AIGC) and explores its application in the evaluation and design of new Chinese cheongsam. Through investigation, 8 pairs of perceptual evaluation adjectives were screened out, and a questionnaire survey was conducted based on 20 new Chinese cheongsam samples. It was identified that "elegant" was the core perceptual evaluation word, and three perceptual dimensions were extracted by factor analysis: temperament factor (dignified, fashionable, sexy), appearance factor (soft) and character factor (elegant). Then the extracted key perceptual factors were input into AIGC tools (such as Midjourney, LookAI) as prompt words. The significant changes of lapel, collar and sleeve elements in the generated scheme verified the feasibility of the establishment of sample elements, which provided a scientific method and reference for the personalized design of new Chinese cheongsam.