Screenshot Journey Auditor: A Tool to Support Analysis of Smartphone Media Consumption Journey Using Screenshot Data

Chen Chin Lin, Jian Hua Jiang Chen, Rebecca Ping Yu, Wan Yun Yu, Yung Ju Chang

研究成果: Conference contribution同行評審

摘要

Taking long series of screenshots for capturing and studying smartphone users' phone usage and media consumption has recently attracted research attention due to its advantage of capturing rich contextual information from users' phone use journeys. However, that approach creates a high volume of screenshots that take very considerable time and effort to inspect and annotate, especially when the granularity of analysis is low: such as when distinguishing among media-content units (e.g, single FB posts) and detecting events in them. We therefore developed Screenshot Journey Auditor (SJA), a web application that identifies individual social media posts, and detects news items and other events of interest in them. It then visualizes users' journeys 'flow' among these media-content units. SJA also enables researchers/coders to collaboratively correct detections online. We evaluated SJA with five coders and received positive feedback on how the detections and visualizations made the analysis process more efficient and informative.

原文English
主出版物標題CSCW 2022 - Conference Companion Publication of the 2022 Computer Supported Cooperative Workand Social Computing
發行者Association for Computing Machinery
頁面110-114
頁數5
ISBN(電子)9781450391900
DOIs
出版狀態Published - 8 11月 2022
事件25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022 - Virtual, Online, Taiwan
持續時間: 8 11月 202222 11月 2022

出版系列

名字Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022
國家/地區Taiwan
城市Virtual, Online
期間8/11/2222/11/22

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