Assessing symptoms of excessive SNS usage based on user behavior and emotion: Analysis of log data

Ploypailin Intapong, Saromporn Charoenpit, Tiranee Achalakul, Michiko Ohkura

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

Abstract

The use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. Such excessive and compulsive use has been categorized as a behavioral addiction. We assessed the symptoms of excessive SNS usage by studying user behavior and emotion in SNSs. In previous studies, we developed a data collection application as a tool for collecting data from questionnaires and SNSs by APIs. We experimentally collected data from undergraduate students at the Thai-Nichi Institute of Technology (TNI), Thailand. To improve our data analysis, we employed web log data and analyzed, including the combination with questionnaires data to clarify SNS usage behaviors and the factors associated with SNS addiction. Our analytical results identified the variables that distinguish excessive users from normal users.

Original languageEnglish
Title of host publicationAdvances in Affective and Pleasurable Design - Proceedings of the AHFE 2017 International Conference on Affective and Pleasurable Design, 2017
PublisherSpringer Verlag
Pages387-397
Number of pages11
Volume585
ISBN (Print)9783319604947
DOIs
Publication statusPublished - 2018
EventAHFE 2017 International Conference on Affective and Pleasurable Design, 2017 - Los Angeles, United States
Duration: 2017 Jun 172017 Jun 21

Publication series

NameAdvances in Intelligent Systems and Computing
Volume585
ISSN (Print)2194-5357

Other

OtherAHFE 2017 International Conference on Affective and Pleasurable Design, 2017
CountryUnited States
CityLos Angeles
Period17/6/1717/6/21

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Intapong, P., Charoenpit, S., Achalakul, T., & Ohkura, M. (2018). Assessing symptoms of excessive SNS usage based on user behavior and emotion: Analysis of log data. In Advances in Affective and Pleasurable Design - Proceedings of the AHFE 2017 International Conference on Affective and Pleasurable Design, 2017 (Vol. 585, pp. 387-397). (Advances in Intelligent Systems and Computing; Vol. 585). Springer Verlag. https://doi.org/10.1007/978-3-319-60495-4_41