Aiming at the complexity and uncertainty of consumers' needs in commercialization of new technology, the detection and mining methods of the perceptual need of product form were improved. The target images of new product style and the representative samples of each image were acquired by research on products of the same trade, the representative disagree of each sample to each image was calculated by semantic differential scale and factor analysis. The key form features of the products of the same trade were extracted and the association between the target images and the form features were analyzed by multivariate regression analysis. The method was validated by an example of finance equipment. Finally, the application problems of this method in general products of new technology were discussed. 

commercialization of new technology,  , product form,  , perceptual need,  , mining

针对新技术商品化过程中，对产品造型的需求复杂且不确定的问题，提出对造型感性需求进行探测、挖掘的方法。通过调研代表趋势的行业产品等获取新产品造型的目标风格意象及相应的代表性样本;以语义差异法、因子分析法获取每个样本对目标意象的表现度;提取关键造型特征，运用多元回归分析建立造型特征与目标意象的关联。以金融机具为例，对上述方法进行实际应用探讨，证明该方法是可行、有效的。最后探讨了该方法在一般新技术产品中的应用。

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新技术商品化, 产品造型, 感性需求, 挖掘

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