近年因使用能源轉變，輕型二輪電動載具漸漸受到大家重視，許多汽車廠也針對電動自行車提出概念設計(如:Audi、BMW、Lexus、Porsche)。隨著自行車外觀的多樣性，設計師開始致力於造型設計以滿足消費者的心理需求，一個產品會受到喜愛，除了其外觀、機能滿足了消費者的期待外，產品意象更是扮演了重要角色，有明確意象的產品能在市場中做出區隔(Mark & Pearson, 2001)。因此本研究以概念自行車為案例，探討其造型特徵與意象之間的關聯性協助設計師進行設計。
研究共分為四階段進行，第一階段透過大量收集概念自行車圖片，以型態分析法進行型態特徵的分類；第二階段進一步參照文獻及專利為概念自行車歸納出設計元素。第三階段研究將第一階段完成的型態分析與設計元素歸納結果製成樣本給予設計背景受測者進行評分，在意象評分部分採用十二原型理論，並以質性焦點團體法方式整理出各原型之意象看板協助評分的進行；最後第四階段研究透過倒傳遞類神經網路將概念自行車造型特徵與消費者意象認知做連結得其關聯性，並從研究產生的317844個方案組合中，選出最符合十二原型之型態與設計元素組合方案。
研究結果顯示，天真者原型及愚者原型皆對應到同一造型，呼應了質性討論的結果；在追尋者原型部分，空氣動力學(Aerodynamic)騎乘姿勢具有強烈影響受測者意象認知的情形；研究發現把手型態的改變對於智者原型意象影響極大；在傳動系統部分，齒輪直接接觸傳動系統於評分結果偏向於魔法師、智者、創造者的原型意象。研究藉由倒傳遞類神經網路建立起概念自行車造型特徵與意象之關聯性，設計師可參照本研究歸類之設計元素，透過操作類神經網路模型得到各原型意象評分進而得到設計準則，設計出符合原型意象之概念自行車。

In recent years due to the change in energy usage, lightweight two-wheel electric vehicles are gradually valued by people. Many automobile manufacturers (such as Audi, BMW, Lexus, and Porsche) also proposed their conceptual designs for electric bikes. With the diversity of bicycle appearances, designers begin to devote themselves to styling designs so as to satisfy consumers’ psychological needs. The reason for a product to be favored by consumers is not only that its appearance and functions can satisfy consumers’ expectation, but also the product imagery plays a significant role. A product with its definite imagery can create its segment in the marketplace (Mark & Pearson, 2001). Therefore, the concept bicycle was selected as a case study for investigating the correlation between its styling characteristics and the imagery so as to assist designers in carrying out designs.
This research is divided into four stages for implementation. The first stage is to carry out the classification of morphological features by the morphological analysis via collecting a large amount of concept bicycle images. The second stage is to further conclude the design elements of concept bicycles by referring to references and patents. The third stage of this research is to create prototypes based on the conclusion and results of the morphological analysis and design elements in the first stage for the subjects with design backgrounds carry out grading. For the imagery grading, the theory of twelve archetypes was adopted. The qualitative focus group method was also used to arrange the image board of each archetype so as to assist in carry out grading. Finally, in the fourth stage of this research, the styling characteristics of concept bicycles and the imagery perceptions of consumers were connected to obtain the correlation via the back-propagation neural network. From the 317844 combinations of schemes that were generated by this study, the neural network model that was created by this research can help determine the most compliant patterns of the twelve archetypes and combination schemes of design elements.
The research results revealed that the pattern of the Innocent archetype has a similar condition as the Jester archetype. Both of them correspond to the styling with a strong sense of volume and perfectly round form. For the Explorer archetype, the aerodynamics in the riding posture has a strong influence on subjects’ imagery perception. The study found that the change of handlebar patterns has a great influence on the imagery of the Sage archetype. For the transmission system, the direct contact transmission system of gears tends to the archetype imagery of the Magician, Sage, and Creator from the grading results. Via the back-propagation neural network, this research built the correlation between the styling characteristics and the imagery of a concept bicycle. A designer can refer to the design elements that were classified by this study and obtain the imagery grading of each archetype via operating the neural network models so as to determine the design guidelines. This approach facilitates the design of concept bicycles that comply with the archetype imagery.

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