| Summary: | 博士 === 國立成功大學 === 工業設計學系碩博士班 === 93 === Consumers are the crucial point for a product successful or not in the high competitive market. Whether consumers choose a product is often a black box, and thus cannot be precisely described. As such, soft computing (SC) is well suited to illustrate consumers’ perception of product images. SC is defined as an emerging approach to reasoning and learning the human mind in an uncertainty and imprecision environment. SC comprises several computing methods, such as neural networks (NNs), fuzzy logic (FL), and tabu search (TS). The NNs are non-linear models and are widely used to examine the complex relationship between input variables and output variables. Moreover, the FL is used to examine the relationship among variables in an observable system where the information available is fuzzy, meaning imprecise and subjective. The TS algorithm is applied to a variety of combinatorial problems and accelerates the search speed for the optimal solution.
This thesis demonstrates the advantage of using SC for the product form and the product color design. To examine how product form and product color affect product image, an experimental study on mobile phones is conducted as mobile phones are currently the most popular consumer product and exhibit wide variety in product form and color. The concept of consumer oriented design is used to extract the experimental samples as a design database for the numerical analysis. The approach of this thesis can help product designers understand consumers’ perception and translate consumers’ feeling of a product into design elements. The design database provides useful insights to facilitate and simulate the design process of products, when combined with the computer-aided design (CAD) system and the virtual reality (VR) technology. Although the mobile phone is used as an illustration, this approach is applicable to other products with various design elements.
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