隨著自主品牌的崛起，台灣產業由早期的代工製造、代工設計發展到近期的自創品牌。為了促使產品在開發過程中減少企業的無謂損失，因此設計師在產品開發階段，不只鎖定在現有及忠實顧客外，更要考量到未來可能成為企業新產品的潛在顧客。但潛在顧客對產品外形的偏好僅靠問題選單與固定造形的圖示，設計師是難以掌握問題。
本研究以數位化科技產品中的微型單眼相機(Electronic Viewfinder Interchangeable Lens；EVIL)為研究案例，藉由潛在顧客之界定後、設計個人特徵選單；接著以形態分析法與集群分析法解構類微型單眼相機之樣本；最後應用倒傳遞類神經網路推衍最佳化產品外形，做為產品開發的原型。
因此，本研究將建立一套開發程序可使設計師於設計初期，有效地掌握潛在顧客對於產品造形之偏好，並提供設計師發展依據的產品外形原型，降低新產品在市場的風險。

With the rise of Self-owned Brand, the industry in Taiwan changes from OEM, ODM early to OBM recently. In order to reduce the deadweight loss in the product development process, designers not only focus on the present and loyal customers, but also the potential ones of new products in the future. However, for designers, it is hard to know well about the shape preference of the potential customers through questionnaires and some photos.
Among the digital technology products, this study took the Electronic Viewfinder Interchangeable Lens (EVIL) as the analytical object. First, after making definition of the potential customers, we design the individual characteristics list of EVIL’s users. Then, we used morphological and cluster analyses to analyze the samples. Finally, we applied back-propagation neural network to result the shape of the optimal product as the prototype.
Therefore, this study will establish a set of development process for designers to master the shape preference of potential customers in the initial stage and offer a prototype to decrease the marker risk of new product.

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