CAMPUS: A University Crowdsourcing Platform for Reporting Facility, Status Update, and Problem Area Information

Chih Chi Chung, Yen Chun Lin, Yu Cheng Wang, Tze Yu Chen, Chia Yu Chen, Xinye Jiang, Fang Yu Lin, Yu Hao Weng, Yung Ju Chang*

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper presents CAMPUS, a crowdsourcing platform that enables its users to report and view information about a university's facilities, real-time status, and problem areas via a mobile web app. The results of our preliminary evaluation indicate that this platform had the potential to inform them about its focal topics, and that they would be motivated to use it if it were deployed on a larger scale. However, the study also highlighted the challenge of dealing with users' mutually redundant reports. Nevertheless, CAMPUS exhibits a strong potential for enabling individuals on a campus to collaboratively inform each other about campus-related information; and our future work will show how individuals on campus leverage this system on a daily basis.

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59-62
頁數4
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, 台灣
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/地區台灣
城市Virtual, Online
期間8/11/2222/11/22

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