| dc.contributor | 新聞系 | zh_TW |
| dc.creator (作者) | 吳筱玫 | zh_TW |
| dc.creator (作者) | Wu, Hsiaomei | en_US |
| dc.creator (作者) | 李蔡彥 | zh_TW |
| dc.date (日期) | 2017-09 | |
| dc.date.accessioned | 19-Jun-2018 15:38:18 (UTC+8) | - |
| dc.date.available | 19-Jun-2018 15:38:18 (UTC+8) | - |
| dc.date.issued (上傳時間) | 19-Jun-2018 15:38:18 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/117815 | - |
| dc.description.abstract (摘要) | 本文乃一跨領域研究，團隊試圖將資訊科學方法，導入 Facebook 打卡研究之中， 做為輔助質性日常生活實踐研究之一項利器。團隊先以 de Certeau 與 Lefebvre 概念為本， 勾勒出一操作架構，做為開發視覺化行人言說分析工具 VPSA 之基礎，接著我們以此工 具進行個人化打卡實踐分析，並將分析結果與大數據之打卡統計進行對話，最終反身性 思考液態社會時期的方法議題。 | zh_TW |
| dc.description.abstract (摘要) | In this interdisciplinary work, we attempt to incorporate the technologies developed in Computer Science into the research on Facebook check-in with a hope of making it a new tool to assist qualitative research on the practice of everyday life. We first use the concepts proposed by de Certeau and Lefebvre to sketch an operational scheme and use it as a basis in the design of our visualization analysis tool, called Visualized Pedestrian Speech Acts Application for Facebook Check-in (VPSA). Then we use the tool to analyze the practice of check-ins by different individuals and to enable the dialogs between qualitative analysis and statistical data on check-in behaviors. Finally, based on this experience, we reflect on the issue of demanding new research methodologies in the era of liquid society. | en_US |
| dc.format.extent | 126 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | 中華傳播學刊, 2017年年會論文 | zh_TW |
| dc.subject (關鍵詞) | 跨領域;視覺化;質性研究;行人言說;日常生活;打卡 | zh_TW |
| dc.subject (關鍵詞) | Interdisciplinary; Visualization; Qualitative Research; Pedestrian Speech Act; Everyday Life; Check-in | en_US |
| dc.title (題名) | Reflections and Operations of Interdisciplinary Methods on Qualitative Research: A Study of Facebook Check-in Practices | en_US |
| dc.title (題名) | 資訊科學與質性研究之對話：臉書打卡實踐之視覺化行人言說分析 | zh_TW |
| dc.type (資料類型) | article | |
