本論文提出一個應用形狀統計分析方法來建立滑鼠感性因素與其外形曲線的關聯模型，透過此模型設計者可依據設計要求合成一個新的滑鼠造型，滿足目標使用者的感性需求。此方法首先透過問卷調查與因素分析萃取使用者對滑鼠認知主要感性因素，其次使用最適尺度迴歸方法找出與以上主要感性因素相關的關鍵造型元素，就以上代表性設計元素使用統計性狀分析的方法求得其形狀變異的主要成分，再透過最適尺度的手法建立形狀變異主要成分與主要感性因素關聯模型，最後本論文開發一MATLAB程式，示範滑鼠外形形狀分析，感性因素關聯模型建立與應用流程步驟。關鍵詞：滑鼠、形狀、形狀統計分析、形狀及感性因素模型、感性工學 This paper applys statistical shape analysis to build a correlation model between emotion and form factors of computer mouses. Through this model, the designer can synthesize a new mouse shape which meets emotional needs of the customer. To set up the model, first questionares and factor analysis are used to extract key emotion factors of the mouse. Second, category regression with optimal scaling is used to identify critical design elements which have strong connection with the above emotion factors. Third, statistical shape analysis is used to extract major shape variation components of the design element which has the highest impact of emotion. Four, for the design element the category regression with optimal scaling is applied to model the correlation between its shape components and key emotion factors. Last, a MATLAB program is developed to demonstrate statistical shape analysis steps, to build the correlation model, and to show how it can be a useful tool for designing a new mouse shape which meets customer’s emotional needs. Key Words： Mouse、Shape、Statistical Shape Analysis、Shape Emotion Modeling、 Kansei Engineering
