灰關聯分析於產品感性設計輔助造形要素評比之研究

Rating Form Elements of Product Kansei Design Using Grey Relational Analysis

王振琤(Chen-Cheng Wang)

《明道學術論壇》 3卷1期 (2007/08) Pp. 51-62

https://doi.org/10.6953/MJ.200708.0051

摘要

定義出產品最能符合感性需求的關鍵性造形要素，是設計師開發成功產品的重要影響因素，爲此，本研究運用灰關聯分析法評比產品感性設計中造形要素的優先度，以利協助設計者理解產品意象與造形要素之間的相關性，釐清哪些造形特徵的設計較能符合產品意象的需求，且設計者可針對高優先度的造形要素優先配置設計資源，方可大幅增進產品設計之效率與生產力。本研究以個人數位助理產品作爲評比造形要素的之研究驗證案例，首先確認產品樣本與感性語彙，並利用形態分析法確認產品的造形要素與其類目特徵，再進行感性量測實驗，調查受測者對於產品的意象感知程度，然後將此統計資料運用灰關聯分析法進行評比造形要素的優先度，結果顯示在“方便的－困難的”感性語彙的需求下，造形要素“頂端造形”最爲重要，“方向鍵形式”則是最不重要的造形要素。

關鍵字

感性工學 ； 產品意象 ； 造形要素 ； 灰關聯分析法

並列摘要

How to define critical form elements that most affect kansei requirements is a significant factor to create a successful product. The grey relational analysis is proposed to rate the priorities of form elements in a product kansei design. The objective is to assist designers to clarify the relationships between product image and form elements. The higher priority of form elements can be allocated more design resources to enhance efficiency and productiveness of product design. A case study of personal digital assistant is used to validate the proposed prioritizing procedure. The representative experimental samples and bipolar kansei word pairs were first identified. The form elements and corresponding categories were also decomposed using morphological analysis method. Then a kansei experiment was conducted to measure subject's image perception degree of each sample. The grey relational analysis is then used to rate the priorities of forms element that matching a desired product image. The analytical results show that the form element ”top shape” has the highest priority and the ”arrow key shape” the lowest priority under the requirement of kansei word pairs ”convenient-difficult”.

並列關鍵字

kansei engineering ； product image ； form elements ； grey relational analysis