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

Ploypailin Intapong, Tipporn Laohakangvalvit, Michiko Ohkura, Tiranee Achalakul

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

LanguageEnglish
Title of host publicationICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction
PublisherAssociation for Computing Machinery, Inc
Pages559-562
Number of pages4
ISBN (Electronic)9781450345569
DOIs
StatePublished - 2016 Oct 31
Event18th ACM International Conference on Multimodal Interaction, ICMI 2016 - Tokyo, Japan
Duration: 2016 Nov 122016 Nov 16

Other

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

Fingerprint

Application programming interfaces (API)

Keywords

  • SNS
  • Social network addiction
  • Social networking sites
  • User behavior

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

Cite this

Intapong, P., Laohakangvalvit, T., Ohkura, M., & Achalakul, T. (2016). Assessing symptoms of excessive SNS usage based on user behavior and emotion. In ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction (pp. 559-562). Association for Computing Machinery, Inc. DOI: 10.1145/2993148.2997620

Assessing symptoms of excessive SNS usage based on user behavior and emotion. / Intapong, Ploypailin; Laohakangvalvit, Tipporn; Ohkura, Michiko; Achalakul, Tiranee.

ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, 2016. p. 559-562.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Intapong, P, Laohakangvalvit, T, Ohkura, M & Achalakul, T 2016, Assessing symptoms of excessive SNS usage based on user behavior and emotion. in ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, pp. 559-562, 18th ACM International Conference on Multimodal Interaction, ICMI 2016, Tokyo, Japan, 16/11/12. DOI: 10.1145/2993148.2997620
Intapong P, Laohakangvalvit T, Ohkura M, Achalakul T. Assessing symptoms of excessive SNS usage based on user behavior and emotion. In ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction. Association for Computing Machinery, Inc. 2016. p. 559-562. Available from, DOI: 10.1145/2993148.2997620
Intapong, Ploypailin ; Laohakangvalvit, Tipporn ; Ohkura, Michiko ; Achalakul, Tiranee. / Assessing symptoms of excessive SNS usage based on user behavior and emotion. ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, 2016. pp. 559-562
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