CAKE：擴充性感性意象調查與分析系統

CAKE: An Extensible Kansei Survey and Analysis System

隨著生活水平的提升，消費者對於產品在設計上所傳達的美感經驗日益講究。意象設計與研究已成為重要的議題，近五年內已有超過百篇論文發表於國內外的期刊與研討會。然而，由於欠缺適當的統合機制，以致於這些豐碩的成果只能被個別的閱讀，而無法串連成一整體的知識庫，以進行更深入的探索。有鑑於此，本研究參考現有之感性工學資訊系統，運用跨平台整合見長之XML （Extensible Markup Language） 技術，建構一具擴充性與整合性的意象調查與分析系統－－CAKE （Computer-Aided Kansei Enginerring）。 本系統主要包含兩個部分：1.意象調查系統：協助研究者設計與執行意象調查，並將資料儲存在格式統一之XML檔案中，作為整合的基礎；2.意象資料分析系統：運用資料轉換與視覺化分析工具，從調查的結果中歸納出研究的發現。為促進意象資料收集的效率與正確性，本研究運用電腦互動技術與即時運算機制，開發四種互動式調查工具，並以對照實驗證明其在調查效率與信度上的增進與表現。透過實際應用於汽車、椅子與茶壺等研究，驗證本系統確實能有效幫助意象調查與研究分析。同時，藉由本系統的開放式架構，本研究也展示了開發新的調查方法與應用工具，擴充其適用範圍與實務應用的可能性。

User experience is one of the most important issues in design. Lots of methods have been proposed for experience design, among which, Kansei Engineering is frequently employed for helping designers understand users' preference and applying it to products. With the help of advanced computer technologies, several computerized Kansei Engineering systems have been developed. However, due to the arbitrary format of data representation schemes and the absence of integration mechanisms, it is not easy to merge or to compare the results between different studies. For this problem, a comprehensive CAKE （Computer-Aided Kansei Engineering） system with extensibility is developed by using the XML （Extensible Markup Language） technology. There are two major components of this system: tools for survey and for data analysis. The survey tool facilitates researchers to design an interactive experiment and use it to collecting users' preference data efficiently and effectively. By visualizing the results of frequently used statistics, the analysis tool assists researchers to examine the data and accumulate the findings into an XML file. Through conducting the experiments to compare with the traditional approaches, the improvement of efficiency and reliability of these computer-based methods was investigated. This system has been applied to several studies with products, such as automobiles, sofas, and kettles.