题名 |
灰色理論方法應用於電動機車之設計研究 |
并列篇名 |
Research on Application of Grey Theory Method in Design of Electric Motorcycle |
作者 |
梁榮進(Jung-Chin Liang);陳俊興(Jyun-Sing Chen);陳俊瑋(Chun-Wei Chen) |
关键词 |
使用者經驗 ; 電動機車 ; 風格 ; 感性工學 ; 灰關聯分析 ; User experience ; Electric motorcycle ; Style ; Kansei engineering ; Grey relational analysis |
期刊名称 |
嶺東學報 |
卷期/出版年月 |
46期(2020 / 06 / 01) |
页次 |
173 - 195 |
内容语文 |
繁體中文 |
中文摘要 |
本研究經由使用者的經驗,聚焦於電動機車進行形態風格的設計研究,目的在於得到消費者的需求觀點,而可以提供電動機車的正確設計資訊,促進產品設計發展和行銷。研究階段,首先蒐集各種電動機車樣本和提出設計要素,提供給有使用經驗的族群,應用樣本與設計要素的結合,進行設計要素的重要性評量。彙整受測者的共識意見,得到了新產品的設計發展指標,提供最佳設計資訊。本研究方法是以感性工學為基礎,經由研究目的和產品設計準則(criterion)的觀點,得到評量結果,再應用灰關聯分析方法(Grey Relational Analysis,GRA),進行計算與分析,得到了設計要素的重要性排序,鑑別出人們對於新產品的設計需求,確實掌握住設計重點,成為新產品的設計策略原則。 |
英文摘要 |
This research focuses on electric motorcycle is through user experience, to design research in form and style, the goal is to get the consumer's needs perspective, and can provide the correct design information of electric motorcycle, promote product design development and marketing. In the research stage, first collect samples of various electric motorcycle, and propose design elements to give to people with experience, combination of application samples and design elements, evaluate the importance of design elements. Summarized the consensus views of the subject, obtained the design development indicators of new products, and provided the best design information. Summarized the consensus opinions of the interviewees and obtained the design and development indicators of new products, can be provide the best design information. This research method is based on perceptual engineering. From the perspective of the research purpose and product design criteria, the evaluation results are obtained, and then Grey Relational Analysis (GRA) is used to calculate and analyze, get the importance ranking of design elements. Identified people's design requirements for new products, and indeed grasped the design focus, and became the design strategy for new products. |
主题分类 |
人文學 >
人文學綜合 人文學 > 歷史學 基礎與應用科學 > 資訊科學 社會科學 > 社會科學綜合 |
参考文献 |
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被引用次数 |