隨著行動網路的普及，使用智慧型手機已成為民眾日常生活中最重要的活動之一。智慧型手機除了提供通訊功能外，更提供許多休閒娛樂與工作上的應用，滿足民眾多元化的資訊需求。特別是近年來行動上網流量已超越傳統桌上型電腦，人們已逐漸習慣使用智慧型手機處理各項作業或從事各類活動，過去在固定空間使用桌上型電腦、透過搜尋引擎獲取所需資訊的方式也有相當大的改變。本研究即希望以大學校園使用者為對象，探討其使用智慧型手機搜尋資訊的行為特性，包括搜尋的動機與需求、搜尋的主題內容、及所使用的搜尋策略等。同時，本研究也嘗試探討影響行動搜尋的因素，特別是社會性因素對行動搜尋行為的影響。此外，也進一步比較行動搜尋與傳統固定環境搜尋模式之異同。
本研究採用問卷、日誌、訪談等多元方法。問卷主要用來收集研究對象之基本人口背景資訊、智慧型手機使用經驗、及日常搜尋行為特性，本研究共收集705份有效問卷，並邀請其中8位參與後續日誌及訪談研究。日誌主要是請參與者每日填寫行動搜尋日誌，藉以收集較真實自然之行動搜尋歷程資料，共收集91筆行動搜尋記錄。訪談主要用來驗証前述所收集資料之分析結果，並深入瞭解研究對象之主觀想法，包括個人在固定環境與行動環境搜尋行為之異同。
主要研究結果包含：行動搜尋的動機以好奇與消遣為主，且多與休閒任務有關，並以查檢事實型資訊為主。就其所搜尋內容，重要的搜尋主題包括娛樂／影音、飲食、旅遊等偏向日常生活之搜尋主題。就其搜尋特性，行動搜尋具有快速簡單的特性，受試者使用智慧型手機進行搜尋時大多僅搜尋事實型資訊，能夠快速獲得以滿足資訊需求；行動搜尋的搜尋策略與技巧與傳統在固定環境使用桌上型電腦相似，主要是利用搜尋引擎之關鍵字搜尋功能；行動搜尋主要發生在固定地點的家中，並非在行動環境如旅遊景點、交通運輸場所等戶外活動空間。就影響搜尋的因素，搜尋前正在從事的任務是影響行動搜尋的最主要情境因素；社會性因素對行動搜尋的影響力不明顯，僅有少部分的行動搜尋是由他人促發，但虛擬社會性因素的影響力值得注意。根據研究結果，本研究對網路平台業者提出改善搜尋之建議，包括行動頁面的建置與轉換；根據搜尋任務設計搜尋引擎，針對不同搜尋任務提供不同資訊，藉此提升搜尋滿意度。而對大學校園使用者的建議，則著重於資訊素養的培養，在進行搜尋時選擇適當工具與判斷資訊來源之可信度等。

With the trends of Mobile Internet, smartphones have changed our daily life. Except serving basic communication function, smartphones have been widely used in work and leisure contexts. Particularly in 2016, mobile and tablet internet usage exceeds desktop for first time worldwide. More and more users use smartphones to search and access information. This study aims to explore college students’ mobile search behavior, including their search motivations, search topics, and search strategies. Meanwhile, the study also attempts to explore the influence of social contexts in mobile search, and further compare the differences among mobile search and traditional desktop-based search behavior.
The study employs multiple methods including questionnaires, diaries and interviews. There were 705 questionnaires collected to analyze users’ demographic backgrounds, the usage of smartphone, and their daily search behavior. 8 participants were recruited to attend diary and interview studies. There were 91 diaries collected to analyze the participants’ mobile search process. The in-depth one-on-one interview is to understand the participants’ subjective comments on mobile search and traditional desktop search.
The results show the main motivations of mobile search behavior are curiosity and diversion, and the main topics of mobile search behavior are entertainment and video, food and drink, and travel for leisure work tasks. With the characteristics of mobile search behavior, mobile search has a quick and simple characteristic, users usually search fact information, that can access quickly to satisfy users’ information needs. With the search strategy of mobile search, the mobile search strategy is similar to computer search, use the keyboard to type keywords to search information. With the search location of mobile search, most of users search at home, either the outdoor space. For context factors, work tasks is the most important context factor, and the influence of social context is not significant.
According to the result, researcher suggests internet service provider to build mobile websites, and according to the work tasks to design the search engine in order to improve the satisfaction of mobile search, and suggests university users' to improve their information literacy to select best way and applications to access information.

中文文獻
吳明隆(2009)。SPSS操作與應用：問卷統計分析實務。台北市：五南。
邱皓政(2002)。量化研究與統計分析。台北市：五南。
財團法人台灣網路資訊中心(2016a)。2016年台灣寬頻網路使用調查報告。檢索
日期：2016年10月30日，取自：
http://www.twnic.net.tw/download/200307/20160922e.pdf
財團法人台灣網路資訊中心(2016b)。2016年台灣無線網路使用調查報告。檢索
日期：2017年6月25日，取自：
https://www.twnic.net.tw/download/200307/20170109d.pdf
資策會產業情報研究所(2013)。行動生活三大導向：娛樂、均衡、工作。檢索日
期：2017年7月15日，取自：
https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=325
資策會FIND(2015)。「資策會FIND(2015)/服務創新體驗設計系統研究與推動計
畫(3/4)」。檢索日期：2016年10月30日，取自：
http://www.find.org.tw/market_info.aspx?n_ID=8482

資策會FIND(2016a)。台灣Z世代之手機娛樂行為解密。檢索日期：2016年10 月30日，取自：http://www.find.org.tw/market_info.aspx?n_ID=8857
資策會FIND(2016b)。眼球之爭手機大獲全勝~台灣民眾平均每天滑手機205分
鐘是看電視時間的2倍!。檢索日期：2016年10月30日，取自：
https://www.find.org.tw/market_info.aspx?k=2&n_ID=8926
數位時代(2016)。台灣活躍用戶破1800萬人，Facebook鎖定電商發力。檢索日
期：2017年6月15日，取自：https://www.bnext.com.tw/article/40252/BN-
2016-07-19-174028-223

英文文獻
Amini, S., Setlur, V., Xi, Z., Hayashi, E., & Hong, J. (2013, August). Investigating
collaborative mobile search behaviors. In Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services (pp. 213-216). ACM.
Banovic, N., Brant, C., Mankoff, J., & Dey, A. (2014, September). ProactiveTasks: the
short of mobile device use sessions. In Proceedings of the 16th international
conference on Human-computer interaction with mobile devices & services (pp.
243-252). ACM.
Barnett, E., & Casper, M. (2001). A definition of" social environment". American
Journal of Public Health, 91(3), 465.
Broder, A. (2002, September). A taxonomy of web search. In ACM Sigir forum(Vol.
36, No. 2, pp. 3-10). ACM.
Brown, B., McGregor, M., & McMillan, D. (2014, September). 100 days of iPhone use:
understanding the details of mobile device use. In Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services (pp. 223-232). ACM.
Buckland, M. K. (1991). Information as thing. Journal of the American Society for
Information Science, 42(5), 351-360.
Church, K., Cherubini, M., & Oliver, N. (2014). A large-scale study of daily
information needs captured in situ. ACM Transactions on Computer-Human Interaction (TOCHI), 21(2), 10.
Church, K., Neumann, J., Cherubini, M., & Oliver, N. (2010). The Map Trap?: an
evaluation of map versus text-based interfaces for location-based mobile search services. In Proceedings of the 19th international conference on World wide web (pp. 261-270). ACM.
Church, K., Smyth, B., Cotter, P., & Bradley, K. (2007). Mobile information access: A
study of emerging search behavior on the mobile Internet. ACM Transactions on the Web (TWEB), 1(1), 4.
Church, K., & Smyth, B. (2008, September). Understanding mobile information needs.
In Proceedings of the 10th international conference on Human computer interaction with mobile devices and services (pp. 493-494). ACM.
Church, K., Smyth, B., Bradley, K., & Cotter, P. (2008, September). A large scale study
of European mobile search behaviour. In Proceedings of the 10th international conference on Human computer interaction with mobile devices and services (pp. 13-22). ACM.
Church, K., & Smyth, B. (2008, January). Who, what, where & when: a new approach
to mobile search. In Proceedings of the 13th international conference on Intelligent user interfaces (pp. 309-312). ACM.
Church, K., & Smyth, B. (2009, February). Understanding the intent behind mobile
information needs. In Proceedings of the 14th international conference on Intelligent user interfaces (pp. 247-256). ACM.
Church, K., & Oliver, N. (2011, August). Understanding mobile web and mobile search
use in today's dynamic mobile landscape. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (pp. 67-76). ACM.
Church, K., Cousin, A., & Oliver, N. (2012, September). I wanted to settle a bet!:
understanding why and how people use mobile search in social settings. In Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services (pp. 393-402). ACM.
Criteo.(2016).The State of Mobile Commerce 2016.
http://www.criteo.com/resources/mobile-commerce-report/
(Retrieved: 15/07/2017)
Evans, J. R., & Mathur, A. (2005). The value of online surveys. Internet
Research, 15(2), 195-219.
Ferreira, D., Gonçalves, J., Kostakos, V., Barkhuus, L., & Dey, A. K. (2014).
Contextual Experience Sampling of Mobile Application Micro-Usage. I n Proceedings of the 16th international conference on Human-computer
interaction with mobile devices & services (pp. 91-100). ACM.
Gartner Inc.(2016) http://www.gartner.com/newsroom/id/3725117
(Retrieved: 15/07/2017)
Google Trends(2017) https://trends.google.com.tw/trends/explore?cat=18&date=all
(Retrieved: 15/07/2017)
Heimonen, T. (2009). Information needs and practices of active mobile internet users.
In Proceedings of the 6th International Conference on Mobile Technology, Application & Systems (p. 50). ACM.
Kamvar, M., & Baluja, S. (2006, April). A large scale study of wireless search behavior:
Google mobile search. In Proceedings of the SIGCHI conference on Human Factors in computing systems (pp. 701-709). ACM.
Pielot, M., Church, K., & de Oliveira, R. (2014, September). An in-situ study of mobile
phone notifications. In Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services (pp. 233-242). ACM.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic
definitions and new directions. Contemporary educational psychology, 25(1), 54-67.
StatCounter Global Stats (2016)
http://gs.statcounter.com/#desktop+mobile+tablet-comparison-ww-monthly-201610-201610-bar(Retrieved: 30/10/2016)
Taylor, C. A., Anicello, O., Somohano, S., Samuels, N., Whitaker, L., & Ramey, J. A.
(2009). A framework for understanding mobile internet motivations and behaviors (pp. 2679-2684). ACM.
Taylor, R. S. (1968). Question-negotiation and Information Seeking in Libraries.
College and Research Libraries, 29(3), 178-194.
Teevan, J., Karlson, A., Amini, S., Brush, A. J., & Krumm, J. (2011). Understanding
the importance of location, time, and people in mobile local search behavior. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (pp. 77-80). ACM.
Webmaster Central Blog(2016)
https://webmasters.googleblog.com/2016/11/mobile-first-indexing.html(Retrieved: 30/10/2016)
Wilson, T. D. (2000). Human information behavior. Informing science, 3(2), 49-56.
Yang, Y., & Deng, G. (2013, February). Information Needs Of Chinese Mobile Internet
Users: A User Study. In ACHI 2013, The Sixth International Conference on Advances in Computer-Human Interactions (pp. 383-388).
Yi, J., Maghoul, F., & Pedersen, J. (2008). Deciphering mobile search patterns: a study
of yahoo! mobile search queries. In Proceedings of the 17th international conference on World Wide Web (pp. 257-266). ACM.
Yi, J., & Maghoul, F. (2011). Mobile search pattern evolution: the trend and the impact
of voice queries. In Proceedings of the 20th international conference companion on World wide web (pp. 165-166). ACM.