Assessing symptoms of excessive SNS usage based on user behavior: Identifying effective factors associated with addiction components

Ploypailin Intapong, Saromporn Charoenpit, Tiranee Achalakul, Michiko Ohkura

研究成果: Conference contribution

抜粋

Social Networking Sites (SNSs) have exploded as a type of popular communication, suggesting exponential appeal. Unfortunately, one reason for their rise is the potential of excessive usage, which leads to negative consequences that are associated with addiction. In this research, we assessed the symptoms of excessive SNS usage by studying user behavior in SNSs. We employed the modified Internet Addiction Test (IAT) and the modified Bergen Facebook Addiction Scale (BFAS) to reflect addictive behaviors. We previously developed a data collection application and experimentally collected data from undergraduates in Thailand. In this article, we clarify the factors associated with addiction components (e.g., salience, mood modification, tolerance, withdrawal, conflict, and relapse), which are reflected by the questions of IAT and BFAS. We analyzed questionnaire and Facebook data by various methods. Our analytic results identified the effective factors associated with addiction components. Then we employed the Support Vector Regression (SVR) for evaluation. The outcome of our research can be applied for developing prevention strategies to increase the awareness of excessive SNS usage.

元の言語English
ホスト出版物のタイトルProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I
ホスト出版物のサブタイトルHealthcare Ergonomics
編集者Sebastiano Bagnara, Yushi Fujita, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
出版者Springer Verlag
ページ394-406
ページ数13
ISBN(印刷物)9783319960975
DOI
出版物ステータスPublished - 2019 1 1
イベント20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy
継続期間: 2018 8 262018 8 30

出版物シリーズ

名前Advances in Intelligent Systems and Computing
818
ISSN(印刷物)2194-5357

Other

Other20th Congress of the International Ergonomics Association, IEA 2018
Italy
Florence
期間18/8/2618/8/30

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • これを引用

    Intapong, P., Charoenpit, S., Achalakul, T., & Ohkura, M. (2019). Assessing symptoms of excessive SNS usage based on user behavior: Identifying effective factors associated with addiction components. : S. Bagnara, Y. Fujita, R. Tartaglia, S. Albolino, & T. Alexander (版), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I: Healthcare Ergonomics (pp. 394-406). (Advances in Intelligent Systems and Computing; 巻数 818). Springer Verlag. https://doi.org/10.1007/978-3-319-96098-2_50