部落格特性於搜尋引擎之動態評估:應用Kano模式

Abstract

過去搜尋引擎服務品質的研究多是著重於技術的角度而忽略了使用者的背景。本研究運用Kano model結構化的品質分類方式來衡量部落格特性與一般搜尋功能，並將之應用於部落格搜尋引擎。由於Kano model的分析方式沒有考量個人背景的不同，無法以使用者為中心做個人化的運用。故本研究根據Kano model的分析結果，進一步地以個人差異進行分析，並且運用了卡方檢定來評估不同部落格使用經驗的品質歸類方式。研究結果發現部落格使用經驗對於品質歸類的方式有顯著的影響。意即部落格搜尋引擎的品質歸類方式是動態的，並且與使用者經驗高度相關。

Prior studies about service quality of search engines focused on the technical view and ignored the users’ profile. The purpose of this study is to investigate users’ evaluations of blog features and traditional features for blog search engines, from the perspective of Kano model, which provides a structure to categorize feature qualities. The analysis obtained from Kano Model is usually for group-based, without considering individual differences, which lead to difficulties in applications for personalization. Therefore in this study, we analyze the results on individual basis and applying chi-square analysis to assess the different evaluation patterns among users of different blog use experiences. The results show that users’ experience has significant impact on quality feature categorization, suggesting that the feature quality categorization of blog search engines is dynamic, and highly dependent upon user experiences.