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研究生:洪國倫
研究生(外文):HUNG, KUO-LUN
論文名稱:整合式介面對不同困難度任務於搜尋效益之研究
論文名稱(外文):The Effectiveness of an Aggregated Search Interface for Tasks with Different Levels of Difficulties
指導教授:吳怡瑾吳怡瑾引用關係
口試委員:賴玲玲邱銘心
口試日期:2015-07-07
學位類別:碩士
校院名稱:輔仁大學
系所名稱:資訊管理學系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:中文
論文頁數:86
中文關鍵詞:延伸評估方法整合式介面搜尋移動任務難度
外文關鍵詞:Aggregate searchExtended evaluation measureSearch moveTask difficulty
相關次數:
  • 被引用被引用:1
  • 點閱點閱:249
  • 評分評分:
  • 下載下載:2
  • 收藏至我的研究室書目清單書目收藏:0
有鑒於維基百科(Wikipedia)與搜尋引擎已成為知識工作者搜尋資訊與瞭解主題知識之重要來源,因此提出結合維基百科與搜尋技術之互動式搜尋整合介面與評估之研究。本研究除探討整合不同網路資訊來源之視覺化介面對於互動式資訊搜尋的效益,並透過不同介面設計探討使用者在面對不同的任務型態及難度時,如何透過介面之工具進行搜尋以達成任務目標。研究除基本的Wikipedia介面並分別設計WNavis與WikiMap#介面,WNavis包含了蒐集維基百科主題頁面資訊的主題地圖(Topic Map)與主題階層樹(Topic hierarchy tree)的視覺化輔助工具,WikiMap#介面則繼承WNavis之介面並加入Google搜尋工具與設計字詞與語意路徑推薦技術。本研究採用了延伸評估方法(Extended evaluation measure)分析使用者搜尋過程與搜尋結果以瞭解各種工具對於使用者面對不同任務難度時之搜尋效益。最後研究透過Zero order state transition (ZOST)和 Maximal repeat patterns (MRPs) 之搜尋移動分析方法觀察使用者在視覺化與搜尋工具的移動行為以提出基於不同任務難度的搜尋策略。
研究結果顯示使用者較偏好使用維基百科頁面以及搜尋功能為主要工具,而資訊視覺化工具在面對不同難度之任務時,確實是能有效幫助搜尋的,但使用者搜尋任務越往後礙於工具較為複雜,因此使用次數也逐漸減少。由此我們期許在未來能將資訊視覺化工具更加簡化,以提升使用者接受度與使用率,以提升搜尋效率。另外,在運用ZOST與MRPs分析使用者搜尋行為後,期許未來能依據分析結果所找到的最佳路徑來改善介面,以幫助任務表現較差及未能有主題背景知識的使用者提升其搜尋效益。
We explored the issue of how different interfaces can support users in accomplishing different types of tasks with different levels of difficulties. In order to develop an aggregated search (integrated search), the proposed WikiMap# interface was extended from our previous application, WNavis, by integrating the search tool with the term and path suggestion functions and the information visuali-zation (IV) tools (i.e., topic network and a hierarchy topic tree for gathering information from Wikipedia article pages and Google search results). We designed a series of subject-oriented tasks and adopted extended evaluation measures to examine the research questions. Then we observed and analyzed the behavior of different levels of knowledge during the search process. We also adopted zero-order state transition matrices (ZOST) and maximal repeating patterns (MRP) to analyze users’ sequences of moves as they search. We then proposed search strategies based on different levels of task difficulties.
The results show that users tend to use the Search tool and Wikipedia page as the main tool. The information visualization tools in the face of difficulty of different tasks, indeed can effectively help the search, but the longer it hinder users search task the tool is more complicated, and therefore the frequency of use is also gradually reduced. Thus, we can expect in the future more streamlined information visualization tools to improve user acceptance and usage, to improve search efficiency. In addition, after using ZOST MRPs analysis and user search behavior, hopes the future results of the analysis can be based on the best path found to improve the interface to help poor performance and failed mission themes with users to enhance their knowledge of search results.
圖 次
表 次
第壹章 緒論
第一節 研究背景與動機
第二節 研究目的
第貳章 文獻探討
第一節 維基探勘(Wikipedia Mining)
第二節 整合互動式搜尋
第三節 資訊視覺化工具(IV Tools)
第四節 任務型態與領域知識對搜尋策略之影響
第參章 研究架構與方法
第一節 研究問題
第二節 架構概述
第三節 實驗介面
第四節 研究方法
第五節 實驗流程與設計
第肆章 任務表現與工具使用結果分析
第一節 比較三種介面的答題正確度(Score)
第二節 比較三種介面的時間成本(Time Cost)
第三節 三種介面之增益量(Gain)
第四節 介面工具操作頻率
第六節 後測問卷統計與分析
第伍章 資訊視覺化與搜尋工具移動序列結果分析
第一節 資訊視覺化工具移動序列比較
第二節 資訊視覺化及搜尋工具最大重複移動序列
第陸章 結論與未來展望
參考文獻
1.楊仁賢,評估主題語意路徑探勘於資訊檢索之效益,輔仁大學資管碩士班論文,2014。
2.高正,資訊視覺化與搜尋工具對資訊搜尋的效益:領域知識之影響,輔仁大學資管碩士班論文,2014。
3.吳怡瑾&張鈞甯,維基百科瀏覽輔助介面─整合連結探勘與語意關聯分析,圖書資訊學研究,2014,5:2,頁:101-142。
4.Anderson, E., Potter, K., Matzen, L., Shepherd, J., Preston, G., & Silva, C., A user study of visualization effectiveness using EEG and cognitive load, Eurographics/IEEE Symposium on Visualization, 30(3), 2011, pp.36–104.
5.Bron, M., Van Gorp, J., Nack, F., Baltussen, L. B., & de Rijke, M., Aggregated search interface preferences in multi-session search tasks, In Proceedings of the 36th international ACM SIGIR Conference on Research and Development in Information Retrieval, 2013, pp.123-132.
6.Belkin, N. J., Cool, C., Kelly, D., Lin, S. J., Park, S. Y., Perez-Carballo, J., & Sikora, C., Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval, Information Processing & Management, 37(3), 2001, pp.403-434.
7.Cai, Z., Zhao, K., Zhu, K. Q., & Wang, H., Wikification via link co-occurrence, In Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management, 2013, pp.1087-1096.
8.Hienert, D., Sawitzki, F., Schaer, P., & Mayr, P., Integrating Interactive Visualizations in The Search Process of Digital Libraries and IR Systems, In Advances in Information Retrieval, 2012, pp.447-450.
9.Hsieh‐Yee, I., Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers, Journal of the American Society for Information Science, 44(3), 1993, pp.161-174.
10.Julien, C. A., Leide, J. E., & Bouthillier, F., Controlled user evaluations of information visualization interfaces for text retrieval: Literature review and meta-analysis, Journal of the American society for information science and technology, 59(6), 2008, pp.1012–1024.
11.Jiang, J., He, D., & Allan, J., Searching, browsing, and clicking in a search session: Changes in user behavior by task and over time, In Proceedings of the 37th international ACM SIGIR Conference on Research & Development in Information Retrieval, 2014, pp.607-616.
12.Jiang, M., Liu, Y., Barlowe, S., Feng, Y., & Yang, J., Evaluating exploratory visualization systems: A user study on how clustering-based systems supporting information seeking from large document collections, Information Visualization, 12(1), 2012, pp.25-43.
13.Nakayama, K., Hara, T., & Nishio, S., Wikipedia mining for an association web thesaurus construction, In Web Information Systems Engineering–WISE, 2007, pp.322-334.
14.Kang, R., & Fu, W. T., Exploratory information search by domain experts and novices, In Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010, pp.329-332.
15.Kopliku, A., Pinel-Sauvagnat, K., & Boughanem, M., Aggregated search: A new information retrieval paradigm, ACM Computing Surveys (CSUR), 46(3), 2014, pp.41.
16.Stasko, J., & Kang, Y., Lightweight task/application performance using single versus multiple monitors: A comparative study, In Proc. Graphics Interface Conference, 2008, pp.17–24.
17.Shirakawa, M., Nakayama, K., Hara, T., & Nishio, S., Probabilistic semantic similarity measurements for noisy short texts using wikipedia entities, In Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, 2013, pp.903-908.
18.Shute, S. J., & Smith, P. J., Knowledge-based search tactics, Information Processing & Management, 29(1), 1993, pp.29-45.
19.Wildemuth, B. M., The effects of domain knowledge on search tactic formulation, Journal of the American Society for Information Science and Technology, 55(3), 2004, pp.246-258.
20.Wu, I.-C., Kao, C., & Chiou, S.-S., Empowering users to explore subject knowledge by aggregating search interfaces, Lecture Notes in Computer Science: HCI in Business, Vol. 8527, 2014, pp.266-276.
21.Wu, I. C. & Vakkari, P., Supporting navigation in wikipedia by information visualization: Extended evaluation measures, Journal of Documentation, Vol. 70, No. 3, 2014.
22.Zhang, X., Asano, Y., & Yoshikawa, M., A generalized flow-based method for analysis of implicit relationships on wikipedia, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on, 25(2), 2013, pp.246-259.
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