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黔东南苗绣感性意象与纹样设计要素的回归模型构建 被引量:4

Regression model construction of perceptual image and pattern design elements in Miao embroidery
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摘要 为辅助现代苗绣产品设计,探索现代消费者对苗绣的感性需求,首先筛选苗绣感性意象词,聚类出4对感性意象词对;其次,选取46个黔东南苗绣纹样图片做感性意象评价实验,通过因子分析,提炼出影响苗绣感性意象的3个主要因子:民族、外观、气质因子;再利用数量化Ⅰ类理论建立苗绣感性意象因子与苗绣纹样设计要素的回归模型。最终通过2个实例验证了利用模型向消费者推荐苗绣产品的可行性。此模型可为设计师考虑消费者感知进行苗绣产品设计提供理论支持。 To assist in the design of modern Miao embroidery products and explore the perceptual needs of modern consumers for Miao embroidery.Firstly,Miao Embroidery perceptual image words were selected and four pairs of perceptual image words were clustered.Secondly,46 pictures of Miao embroidery patterns in southeastern Guizhou were selected for the perceptual image evaluation experiment.Through factor analysis,three main factors affecting the perceptual image of Miao embroidery were extracted:nationality,appearance and temperament.Then,the regression model between the perceptual image factors of Miao embroidery and the design elements of Miao embroidery patterns was established by using the quantitative Ⅰ theory.Finally,two examples were used to verify the feasibility of using the model to recommend Miao embroidery products to consumers.This model can provide theoretical support for designers to design Miao embroidery products considering consumer perception.
作者 吴梦瑶 虞倩雯 王建萍 王珺艺 WU Mengyao;YU Qianwen;WANG Jianping;WANG Junyi(College of Fashion&Design,Donghua University,Shanghai 200051,China;Key Laboratory of Clothing Design&Technology,Ministry of Education,Donghua University,Shanghai 200051,China;College of Art Design and Media,Sanda University,Shanghai 201209,China;Shanghai Belt and Road Joint Laboratory of Textile Intelligent Manufacturing,Shanghai 200051,China)
出处 《毛纺科技》 CAS 北大核心 2023年第7期97-103,共7页 Wool Textile Journal
基金 上海市科学技术委员会国际合作项目(21130750100) 中央高校基本科研业务费专项资金资助项目(2232022G-08)。
关键词 苗绣 绣法纹样 感性意象 数量化理论Ⅰ 多元回归分析 Miao embroidery embroidery pattern perceptual image quantitative theory Ⅰ multiple regression analysis
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