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  • 學位論文

應用卡片分類法分析應用市集之應用程式分類方式

Analysis on Classifications of Applications in App Markets with Card Sorting Technique

指導教授 : 梁曉帆

摘要


隨著3C產業的發展,應用市集提供各種應用程式予以選擇,但許多應用程式的分類架構往往與使用者的認知不同,導致使用者在搜尋應用程式時浪費不少時間,因此本研究目的是期望找到符合使用者認知的應用程式分類架構。研究以三大應用市集Google Play、Windows Marketplace及Samsung Apps為例,應用卡片分類法與群集分析法求得以使用者為中心之應用程式分類架構,以此結果及三家應用市集的應用程式分類架構製作四個實驗網頁,即為本研究之自變數,使用者之任務搜尋時間為依變數,比較使用者使用不同應用程式分類架構時,其搜尋應用程式之時間差異。實驗結果得到,當任務搜尋之應用程式項目在四家應用市集中屬於分類名稱概念不同時,具有顯著差異。受測者執行以使用者心智模式為架構之市集網頁時,其搜尋時間明顯少於其他三家應用市集,尤其當受測者在搜尋應用程式項目屬於分類名稱概念不同時,搜尋時間相對於其他三家應用市集,最多減少235%,最少減少115%。此研究驗證了以使用者為中心之應用程式分類架構能改善搜尋應用程式的時間,研究結果應能對於應用市集之應用程式的分類方式有所幫助,並可提供未來相關產業之研發參考依據。

並列摘要


With the industrial development of computers, app markets offer a variety of applications for users. However, a problem is that the classifications of applications may conflict with users’ cognition and lead to waste time while searching for applications. Therefore, the objective of this study is to find a structure of these classifications that meet users’ mental models. In this study, three app markets including Google Play、Windows Marketplace and Samsung Apps were examined. The card sorting technique and cluster analysis were used for analyzing the data collected from the participants. An experiment was designed with four simulated websites. One was based on the data from the participants. The other three were based on the app market that had different classifications of applications. Searching time was designed as the dependent variable. Result showed that significant differences were found among the four app markets websites. The quickest searching time was found in the use of the website based on participants’ mental models. Compared to other three websites, this search time has reduced by up to 235%, and at least 115%. This study confirms that the user-centered structure of the classifications of applications can improve the searching time of applications. The findings of this study should be able to help for the classifications of applications, and it can provide a reference for the future research and development of related industries.

參考文獻


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