本研究使用泛用型普氏分析結合彈性問卷進行隨身碟之感性工學研究，預期透過方法論的引入，使得彈性問卷評價方式能夠使用於產品意象評估，不只作為傳統研究方法的輔助手段，更能夠進一步成為量測消費者意向的主要測量工具。
研究流程包括探討使用彈性問卷的實驗流程與結果，與傳統研究方法之間的異同；透過「使用者個別特徵萃取」、「建立樣本偏好分布」以及「使用者分群效力」等三個面向，嘗試建立比較項目以理解方法論之間的差異。並探討分析所得之受測者特徵資料可應用於感性工學研究中的哪些層面。
研究以隨身碟為例，結果顯示1.一般問卷使用泛用型普氏分析，能夠得到接近傳統研究的形容詞分析成果。2.泛用型普氏分析更能夠從傳統方法無力處理的彈性問卷中萃取出形容詞成分，以用於建立隨身碟偏好分布圖。3.彈性問卷在獲取受測者評價上，較一般問卷方式能夠得到更完整的評價分布。4.使用泛用型普氏分析所得到的消費者回應特徵，可用來做為受測者分群的指標，進一步提升分群的效度。

This study focuses on applying Generalized Procrustes Analysis (GPA) in conducting Kansei Engineering System (KES) research on flash drives, which is hoped to introduce “flexible questionnaire assessments” as a way of evaluating product perception through the conducting of methodology. And by using of the method, it would become not only a supportive technique of the traditional fashion, but also the primarily measurements of how consumers are thinking.
The study includes three aspects for comparing the differences between traditional methods and the proposed method: The extraction of individual features, sample preference mapping, and the effectiveness of clustering. Further discussion would be on the application of subjects’ responsive features inside of the KES research.
The result shows that 1. Using GPA on normal questionnaires can derive results similar to the traditional analytical method. 2. GPA can even extract constructs out of flexible questionnaires for further preference mapping of the samples, which normal methods cannot. 3. Conducting flexible questionnaires assessments would have a more comprehensive feedback on sample evaluations than the normal questionnaires. 4. With the use of GPA, the subjects’ affective response can be retrieved and applied, which raises the effectiveness of clustering analysis.

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