研究生: |
陳盟仁 Chen, Meng Ren |
---|---|
論文名稱: |
行動交友應用程式之年輕族群交友行為研究 Understanding Young Crowd Behavior on Mobile Friend-Making Apps |
指導教授: |
吳尚鴻
Wu, Shan Hung |
口試委員: |
王浩全
Wang, Hao Chuan 陳昇瑋 Chen, Sheng Wei 帥宏翰 Shuai, Hong Han |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 資訊工程學系 Computer Science |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 中文 |
論文頁數: | 29 |
中文關鍵詞: | 行動應用程式 、交友 、使用者行為分析 、聊天 、匿名 |
外文關鍵詞: | mobile application, friend-making, user behavior analysis, chat, anonymous |
相關次數: | 點閱:2 下載:0 |
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行動交友應用程式近年來如雨後春筍一個接著一個出現,例如Tinder、BeeTalk、WooTalk等,年輕族群是使用行動交友應用程式的主要族群之一。然而,年輕族群在行動交友應用程式上的使用行為,包括年輕族群使用行動交友應用程式的原因、對行動交友應用程式的期待以及年輕族群如何使用行動交友應用程式等問題都還是不為人知並值得研究探討的議題。此研究透過進行三百人的問卷調查,並且實作行動交友應用程式收集超過一千五百位年輕使用者的資料,以探討年輕族群對於行動交友應用程式的使用行為,包含使用動機、性別差異、聊天、朋友共四個面相,藉此了解在行動交友應用程式上的年輕族群,同時作為行動交友應用程式的設計參考。
Mobile friend-making apps emerge one after another in recent years. For example, Tinder, the leader of mobile friend-making apps, has about five hundred million registered users and an amount of daily active users. Other mobile friend-making apps such as BeeTalk, OkCupid and WooTalk also successfully attract their customers and find out their royal users. To look further into these users, young crowd is one of the main users group. However, the behavior of young crowd on mobile friend-making apps is currently unknown. In this paper, a mobile friend-making app is implemented and pushed to Google Play Store and Apple Store, collecting about one thousand five hundred user data as objective metrics. On the other side, about three hundred responses are collected as subjective metrics from questionnaire survey. From app user data and questionnaire responses, user behavior analysis is conducted from four phases including user motivation, gender differences, chat and friends. Through studying young crowd behavior on mobile friend-making apps, people could further understand young crowd in different angle. Moreover, it also provides a design reference to mobile friend-making apps.
[1] R. E. Grinter, "Instant Messaging in Teen Life," in CSCW, 2002.
[2] M. E. Stiso., “Frequency of Usage and Feelings of Connectedness in Instant Messaging by Age, Sex, and Civil Status,” HCI, p. 562–569, 2009.
[3] L. L. P. K. H. R. &. L. W. P. F. M. Jablin, Handbook of organizational communication: An interdisciplinary perspective, 1987.
[4] C.-A. W. S.-H. H. Ke-Chen Pong, “GamIM: Affecting Chatting Behavior by Visualizing Atmosphere of Conversation,” 於 Abstract HCI, 2014
[5] J. B. Walther, “Selective self-presentation in computer-mediated communication. Hyperpersonal dimensions of technology, language, and cognition,” Computers in Human Behavior, p. 2538–2557, 2007.