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題名 關鍵字提示功能對使用者搜尋的影響-以Google Autocomplete為例
How Keywords Suggestion Influences Users’ Searching Behavior: Case Studies from Google Autocomplete
作者 莊雅茜
Chuang, Ya Chian
貢獻者 吳筱玫
莊雅茜
Chuang, Ya Chian
關鍵詞 關鍵字
搜尋引擎
框架
框架化
Keywords
Search engine
frame
framing
日期 2012
上傳時間 10-Feb-2014 14:45:29 (UTC+8)
摘要 本研究目的為從框架理論的觀點,檢視搜尋引擎和 Google Autocomplete 如 何影響使用者搜尋行為和資訊解讀方式。本研究採用名人和娛樂作為搜尋主題, 透過實驗法的精神實際觀察法,以及觀察之後的半結構式訪談,記錄十三位使 用者的搜尋歷程和行為背後的思考方式。

在此架構下,本研究共有三項主要發現。首先是使用者有偏差的搜尋行為, 包括使用單一搜尋引擎、類似的搜尋關鍵字,以及瀏覽前兩頁且排序較前的搜 尋結果,其中又以維基百科最為使用者信任。

再者是 Google Autocomplete 使用情況,本研究使用者對於 Google Autocomplete 功能並不陌生,一般在(1)關鍵字提示符合(或相似)個人的關 鍵字、(2)關鍵字提示特殊、(3)不知道該輸入什麼關鍵字,以及(4)關鍵 字提示比個人的關鍵字更為精準的情況下,使用關鍵字建議。

最後是 Google Autocomplete 如何影響使用者搜尋行為和解讀。本研究大部 份的使用者依其原本的使用者框架,有一套既有的搜尋行為和關鍵字聯想方式, 不過在瀏覽 Google Autocomplete 提供的關鍵字建議清單後,會改變原先預設的 搜尋關鍵字,對於關鍵字的回憶,也多來自關鍵字建議清單中的選項;此外, 本研究使用者會推論關鍵字之間的連結性,如將「李安 基督教」定義為一資訊 陳述的方式,甚至進一步形成李安信仰基督教的推論結果。
The purpose of this paper is to examine how search engine and its Google Autocomplete influence online users’ searching behavior and information interpretation from frame theory perspective. This paper focuses on celebrity and entertainment-related information as research topic and conducts quasi-experiment observation and semi-structured interview. Thirteen participants were given two tasks each, and both quantitative and qualitative data was collected.

The results present three main findings. First, search bias indeed exists in user’ searching processes. Users prefer using not more than two search engines, using similar keywords, opening those Web pages in the preceding rank and Wikipedia when assessing the relevance of Web pages for information-seeking tasks.

Moreover, users are familiar with Google Autocomplete and usually adopt these keywords suggestions provided by Google Autocomplete when (1) these keywords meet their searching needs, (2) these keywords are special enough for them to check out, (3) they have no idea what keywords to enter themselves, and (4) these keywords are better than what they originally have.

Last but not least, most of the users have their own searching strategies according to their frame towards a certain issue. However, after the exposure to the keywords suggestions, they are not only keen to change their keywords by adopting these suggestions but also associate two keywords listed in the same row and give them an specific interpretation in their own way.
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描述 碩士
國立政治大學
新聞研究所
100451003
101
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0100451003
資料類型 thesis
dc.contributor.advisor 吳筱玫zh_TW
dc.contributor.author (Authors) 莊雅茜zh_TW
dc.contributor.author (Authors) Chuang, Ya Chianen_US
dc.creator (作者) 莊雅茜zh_TW
dc.creator (作者) Chuang, Ya Chianen_US
dc.date (日期) 2012en_US
dc.date.accessioned 10-Feb-2014 14:45:29 (UTC+8)-
dc.date.available 10-Feb-2014 14:45:29 (UTC+8)-
dc.date.issued (上傳時間) 10-Feb-2014 14:45:29 (UTC+8)-
dc.identifier (Other Identifiers) G0100451003en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/63631-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 新聞研究所zh_TW
dc.description (描述) 100451003zh_TW
dc.description (描述) 101zh_TW
dc.description.abstract (摘要) 本研究目的為從框架理論的觀點,檢視搜尋引擎和 Google Autocomplete 如 何影響使用者搜尋行為和資訊解讀方式。本研究採用名人和娛樂作為搜尋主題, 透過實驗法的精神實際觀察法,以及觀察之後的半結構式訪談,記錄十三位使 用者的搜尋歷程和行為背後的思考方式。

在此架構下,本研究共有三項主要發現。首先是使用者有偏差的搜尋行為, 包括使用單一搜尋引擎、類似的搜尋關鍵字,以及瀏覽前兩頁且排序較前的搜 尋結果,其中又以維基百科最為使用者信任。

再者是 Google Autocomplete 使用情況,本研究使用者對於 Google Autocomplete 功能並不陌生,一般在(1)關鍵字提示符合(或相似)個人的關 鍵字、(2)關鍵字提示特殊、(3)不知道該輸入什麼關鍵字,以及(4)關鍵 字提示比個人的關鍵字更為精準的情況下,使用關鍵字建議。

最後是 Google Autocomplete 如何影響使用者搜尋行為和解讀。本研究大部 份的使用者依其原本的使用者框架,有一套既有的搜尋行為和關鍵字聯想方式, 不過在瀏覽 Google Autocomplete 提供的關鍵字建議清單後,會改變原先預設的 搜尋關鍵字,對於關鍵字的回憶,也多來自關鍵字建議清單中的選項;此外, 本研究使用者會推論關鍵字之間的連結性,如將「李安 基督教」定義為一資訊 陳述的方式,甚至進一步形成李安信仰基督教的推論結果。		zh_TW
dc.description.abstract (摘要) The purpose of this paper is to examine how search engine and its Google Autocomplete influence online users’ searching behavior and information interpretation from frame theory perspective. This paper focuses on celebrity and entertainment-related information as research topic and conducts quasi-experiment observation and semi-structured interview. Thirteen participants were given two tasks each, and both quantitative and qualitative data was collected.

The results present three main findings. First, search bias indeed exists in user’ searching processes. Users prefer using not more than two search engines, using similar keywords, opening those Web pages in the preceding rank and Wikipedia when assessing the relevance of Web pages for information-seeking tasks.

Moreover, users are familiar with Google Autocomplete and usually adopt these keywords suggestions provided by Google Autocomplete when (1) these keywords meet their searching needs, (2) these keywords are special enough for them to check out, (3) they have no idea what keywords to enter themselves, and (4) these keywords are better than what they originally have.

Last but not least, most of the users have their own searching strategies according to their frame towards a certain issue. However, after the exposure to the keywords suggestions, they are not only keen to change their keywords by adopting these suggestions but also associate two keywords listed in the same row and give them an specific interpretation in their own way.		en_US
dc.description.tableofcontents 第一章 緒論....................................................................1
第一節 研究背景與動機....................................................1
第二節 搜尋引擎與 Google Autocomplete 介紹.................3
第三節 研究目的 .............................................................9

第二章 文獻與理論探討....................................................11
第一節 網路使用者搜尋行為..............................................11
第二節 框架理論與搜尋引擎..............................................18
第三節 理解資訊的轉向:從資訊檢索到關鍵字分類.................25
第四節 Google Autocomplete 相關研究和爭議..................29
第五節 研究問題..............................................................32

第三章 研究方法與設計....................................................34
第一節 研究方法..............................................................34
第二節 研究架構..............................................................36
第三節 研究設計..............................................................38

第四章 研究發現..............................................................45
第一節 搜尋行為與搜尋偏差..............................................45
第二節 Google Autocomplete 使用習慣與目的..................58
第三節 Google Autocomplete 的介入與影響.....................60

第五章 結論與建議..........................................................71
第一節 研究結果概要.......................................................71
第二節 與框架對話..........................................................73
第三節 延伸討論.............................................................75
第四節 研究限制與建議....................................................77

參考文獻........................................................................80		zh_TW
dc.format.extent 3162909 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0100451003en_US
dc.subject (關鍵詞) 關鍵字zh_TW
dc.subject (關鍵詞) 搜尋引擎zh_TW
dc.subject (關鍵詞) 框架zh_TW
dc.subject (關鍵詞) 框架化zh_TW
dc.subject (關鍵詞) Keywordsen_US
dc.subject (關鍵詞) Search engineen_US
dc.subject (關鍵詞) frameen_US
dc.subject (關鍵詞) framingen_US
dc.title (題名) 關鍵字提示功能對使用者搜尋的影響-以Google Autocomplete為例zh_TW
dc.title (題名) How Keywords Suggestion Influences Users’ Searching Behavior: Case Studies from Google Autocomplete en_US
dc.type (資料類型) thesisen
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