Assessing symptoms of excessive SNS usage based on user behavior and emotion
Conference proceedings article
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Publication Details
Author list: Intapong P., Laohakangvalvit T., Ohkura M., Achalakul T.
Publisher: Hindawi
Publication year: 2016
Start page: 559
End page: 562
Number of pages: 4
ISBN: 9781450345569
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
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Abstract
The worldwide use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. However, many studies have issued warnings about the negative consequences of excessive SNS usage, including the risk of addictive behavior. This research is conducted to detect the symptoms of excessive SNS use by studying user behaviors and emotions in SNSs. We employed questionnaires, SNS APIs, and biological signals as methods. The data obtained from the study will characterize SNS usage to detect excessive use. Finally, the analytic results will be applied for developing prevention strategies to increase the awareness of the risks of excessive SNS usage. ฉ 2016 ACM.
Keywords
SNS, Social network addiction, Social networking sites, User behavior
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