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月 31 |
| イベント | 18th ACM International Conference on Multimodal Interaction, ICMI 2016 - Tokyo, Japan 継続期間: 2016 11月 12 → 2016 11月 16 |
Other
| Other | 18th ACM International Conference on Multimodal Interaction, ICMI 2016 |
|---|---|
| 国/地域 | Japan |
| City | Tokyo |
| Period | 16/11/12 → 16/11/16 |
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