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  • 學位論文

連結產品形狀特徵參數與消費者感性之感性評估模型

A Prediction Model of Product Shape Feature Parameters Versus Consumers’ Kansei

指導教授 : 陳湘鳳
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摘要


隨著整體社會型態的變遷,消費者開始對於各類型產品有著更高的要求,對於產品的要求不再僅限於功能性以及使用品質,也對於產品的風格、外觀樣式開始有了要求。在這個背景之下,本研究提出在產品設計階段,即考慮產品外型特徵對於消費者感性所造成的影響,以感性工學的基礎,建立一套產品設計的方法。 本研究主要目的是了解產品外型特徵對消費者感性所造成的影響,考慮以往的感性工學大多以不連續的設計類目進行感性評估,本研究將嘗試以參數的形式達到評估方程式的連續,進而使感性設計朝向自動化設計發展。研究將以兩階段實驗的方式來達成此目的,並建構預測方程式。 本研究以粗框鏡架作為目標產品,分析其產生外型變異的主要設計元素,再以田口式直交表繪製問卷樣本;另一方面蒐集產品相關的形容詞,從中挑選適當辭彙作為問卷中的感性辭彙。第一階段實驗目的是找出最能表示目標產品變異的感性辭彙,以因素分析法縮減感性辭彙的維度,找出最具代表性的辭彙。第二階段實驗目的是找出代表性辭彙與設計元素之間的關聯性,經由外型特徵歸類出設計項目的代表參數,以代表參數連結不連續的設計類目,建構連續的評估模型。最後,以市售實際眼鏡作為驗證樣本,進行單一樣本t檢定,對每組感性辭彙預測模型評估分析並討論結果。

並列摘要


Along with the changing of society, consumers start to have a higher requirement of various types of products. Consumers’ requirement is not only for product functionality and performance but also for product appearance and styles. To satisfy customers’ requirement, this study proposes a product design method considering the relationships between product shape features and consumer s’ kansei during the product design stage. The aim of this study is to build a relationship between product shape features and consumer s’ kansei. Most kansei engineering methods predict models by discrete design levels. This study tries to use continuous parameters to build continuous predict models. The experiment in this study was divided into two steps. The first-step experiment is to reduce the dimension of kansei words and to find the representative kansei words by using factor analysis. The second-step experiment is to discover the relationships between the representative kansei words and the design elements. According to the results, a continuous-parameter predict model was created. To test the validity of the result, we conducted a new survey using frame of real glasses and the representative kansei words. A one-sample t-test was used to test the correctness of the results.

參考文獻


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