Assessing symptoms of excessive SNS usage based on user behavior and emotion

Ploypailin Intapong, Tipporn Laohakangvalvit, Michiko Ohkura, Tiranee Achalakul

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction
出版社Association for Computing Machinery, Inc
ページ559-562
ページ数4
ISBN(電子版)9781450345569
DOI
出版ステータスPublished - 2016 10 31
イベント18th ACM International Conference on Multimodal Interaction, ICMI 2016 - Tokyo, Japan
継続期間: 2016 11 122016 11 16

Other

Other18th ACM International Conference on Multimodal Interaction, ICMI 2016
国/地域Japan
CityTokyo
Period16/11/1216/11/16

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 人間とコンピュータの相互作用
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識

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