Dynamic Evaluations of Blog Features for Search Engines: Applying the Kano Model
Date Issued
2007
Date
2007
Author(s)
Lin, Yu-Chien
DOI
en-US
Abstract
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.
Subjects
部落格
部落格搜尋引擎
Kano模式
個人差異
品質歸類方式
blogs
blog search engines
the Kano model
individual difference
quality feature categorization
Type
other
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