@inproceedings{d2a633ebe4db4714a69c3e1e2a6ba85d,
title = "Exploring Challenges and Opportunities in Developing Systems to Improve Shopping Addiction through Social Sensing Technology",
abstract = "Shopping addiction is a destructive behavioral addiction characterized by compulsive purchasing with negative consequences for one's finances and social well-being. In the current study, we conducted a literature review aimed at identifying difficulties in the self-monitoring of shopping behavior using existing technological solutions. Based on these results, we developed a guide for designing an online survey to explore the challenges and opportunities in applying social sensing to the problem of shopping addiction. The potential results of the online survey are expected to shed light on designing social sensing solutions to reduce shopping addiction.",
keywords = "Online Survey Study, Shopping Addiction, Social Sensing",
author = "Liu, {Ling Chung} and Kao, {Yung Han} and Yuan, {Chien Wen Tina} and Nanyi Bi and Chung, {An Nie} and Huang, {Ming Chyi} and You, {Chuang Wen}",
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 = "10.1145/3500868.3559453",
language = "English",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "50--53",
booktitle = "CSCW 2022 - Conference Companion Publication of the 2022 Computer Supported Cooperative Workand Social Computing",
}