政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/106879

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/106879

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政大典藏 > College of Informatics > Department of Computer Science > Theses > Item 140.119/106879

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/106879

Title:	輔助社群媒體打卡研究之分析工具研發 Development of an analysis tool to facilitate check-in research in social media
Authors:	梁芷瑄 Liang, Chih Hsuan
Contributors:	李蔡彥 Li, Tsai Yen 梁芷瑄 Liang, Chih Hsuan
Keywords:	社群媒體臉書打卡視覺化分析 Social media Facebook Check-in Visualization Analysis
Date:	2017
Issue Date:	2017-03-01 17:13:40 (UTC+8)
Abstract:	打卡(Check-in)是Facebook平台上使用者經常使用的功能之一。過去關於打卡的研究大多採用質化的方法，而質性研究者在訪談使用者之前，為了解使用者的資料，往往需要手動查看使用者的Facebook塗鴉牆，收集、整理資料，費時費力。另外，使用者在Facebook上的打卡方式具多樣變化，許多的打卡不具有即時性與適地性。為了了解使用者的打卡動機，我們尚需取得使用者在手機上的操作與位置等資訊，方能還原打卡時的情境。為了了解打卡研究者的研究歷程與需求，我們讓質化研究先行，以進行需求分析，再依其開發一個協助研究者的分析工具，收集整理來自Facebook打卡資料與手機Log的資料，透過視覺化與列表的方式呈現，提供研究者能快速、深入分析、探索使用者在Facebook上打卡的行為與動機。本實驗邀請5位受試者扮演打卡研究分析者的角色，透過系統教學讓受試者學習使用系統，最後讓受試者自由探索使用者的資料集，並記錄下探索歷程與發現。實驗的評分結果使用5分量表，有用性向度的平均分數為4.6，受試者認為本系統能協助他們分析使用者的打卡行為與進行後續研究；易用性向度的平均分數為4.1，系統的操作方式對有的受試者需要時間來學習，但大部份受試者仍對本系統的易用性表示同意，證明本系統兼具有用性與易用性。另外，我們也發現受試者在探索過程與探索結果中展現了對此系統的創用性，是在設計者的預期之外，可見本系統的工具本質。 Check-in is one of the functions that users often use on social media systems such as Facebook. In the past, most of the researchers about check-in use qualitative methods. Before interviewing users, qualitative researchers often need to manually check the user`s timeline on Facebook to collect and sort out data, which is time consuming. In addition, the ways of a user`s check-in’s on Facebook are diversified. Many check-in’s do not synchronize in time and place. To understand the motivation of a user in doing check-in’s, we need to collect more data such as the actions and location on user`s mobile phone to restore the context. In order to assess the need of researchers, we use an interdisciplinary approach, in which qualitative research and tool development run in parallel. We develop a visual analysis tool aiming to help qualitative researchers to analysis data. Our tool collects check-in data from Facebook and synchronizes them with the user log on the user’s mobile phone. By visualizing the data in various forms such as bubble chart, timeline, map, and table, we hope to provide researchers with a quick overview of user behavior as well as in-depth studies of specific events. We use a 5-point scale to evaluate the system in our experiment. The average score of usefulness is 4.6, and the subjects think that our tool is very helpful for them to analyze check-in behaviors and the follow-up qualitative study. The average score of ease-of-use is 4.1. Although most of subjects agree that our system is easy to use, some think that practice is necessary to master the system. In addition, some subjects have found creative uses of our system that were not thought of by the designer, which reflects the nature of our tool in data exploration.
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Description:	碩士國立政治大學資訊科學學系 102753009
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0102753009
Data Type:	thesis
Appears in Collections:	[Department of Computer Science ] Theses

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