@inproceedings{af85d6abdaa94ce38b257680350514e0,
title = "CAMPUS: A University Crowdsourcing Platform for Reporting Facility, Status Update, and Problem Area Information",
abstract = "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.",
keywords = "campus, crowdsourcing, GIS, mobile crowdsourcing",
author = "Chung, {Chih Chi} and Lin, {Yen Chun} and Wang, {Yu Cheng} and Chen, {Tze Yu} and Chen, {Chia Yu} and Xinye Jiang and Lin, {Fang Yu} and Weng, {Yu Hao} and Chang, {Yung Ju}",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022 ; Conference date: 08-11-2022 Through 22-11-2022",
year = "2022",
month = nov,
day = "8",
doi = "10.1145/3500868.3559447",
language = "English",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "59--62",
booktitle = "CSCW 2022 - Conference Companion Publication of the 2022 Computer Supported Cooperative Workand Social Computing",
}