應用卡片分類法與相似性評定於大學圖書館網站資訊架構之研究

Abstract

本研究主要探討將知識結構評量常用的引出方法應用於圖書館網站之資訊架構研究中，即分別使用知識結構引出方法中的相似性評定與傳統資訊架構研究者使用的卡片分類法，比較兩種方法所得之網站架構圖，對圖書館網站內部尋獲度之影響，並以國立臺灣師範大學圖書館作為研究個案。第一階段分別以卡片分類法與相似性評定作為知識結構引出方法，第二階段將兩種知識結構引出方法蒐集得到之資料分別以群集分析及徑路搜尋分析兩種知識結構表徵方法建立網站架構圖，以此兩階段不同的方法組合，期望找到可協助網站架構建置最佳的方法。 研究結果顯示第一階段兩種知識結構引出方法，對於網站尋獲度並無顯著差異，而第二階段兩種知識結構表徵方法則有顯著差異，特別是在同樣採用卡片分類法作為知識結構引出方法時，徑路搜尋分析會比群集分析獲得較好的網站尋獲度。 最後根據研究結果對現行之臺師大圖書館網站提出三點建議：一、設計符合使用者期待之網站資訊架構；二、考量使用者的分類概念設計網站資訊架構；三、從使用者的角度命名網站標籤。

Using the website of National Taiwan Normal University Library as a case study, which applied knowledge structure elicitation methods to information architecture, the purpose of this thesis explored effects on internal findability of websites. Specifically, the researcher compared the results from the two of the knowledge elicitation structure methods, similarity ratings and card sorting, the latter which is used by traditional information architects, then comparing the data of the website architecture diagrams generated from these two methods. In the first phase, the researcher compared the similarity ratings with card sorting, as knowledge elicitation structure methods to collect data separately. As knowledge structure representation methods in the second phase, cluster analysis and pathfinder analysis were used to construct website architecture diagrams. Combining the two methods in order to find the most effective way facilitates the setup of websites. The results revealed that there was no significant difference between the knowledge elicitation structure methods in terms of the internal findability in the first phase. However, there were significant differences between the two knowledge structure representation methods. Specifically under the condition of using card sorting as knowledge elicitation structure method, using pathfinder analysis as knowledge structure representation method retrieved better results of website internal findability. Finally, the researcher provided suggestions to the website of National Taiwan Normal University Library based on the experiment results: 1. Development the website information architecture based on users’ expectations. 2. Considerate the users’ categorization schema to design the website. 3. Naming the labels on the website from the users’ perspective.