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

Ploypailin Intapong; Saromporn Charoenpit; Tiranee Achalakul; Michiko Ohkura

doi:10.1109/ICBIR.2018.8391181

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

Ploypailin Intapong, Saromporn Charoenpit, Tiranee Achalakul, Michiko Ohkura

研究成果: Conference contribution

抄録

Excessive Social Networking Site (SNS) usage leads to negative consequences that are associated with addiction. We assessed the symptoms of excessive SNS usage by studying user behavior in SNSs. Understanding how people behave in them helps detect and identify the symptoms of excessive SNS usage. In our previous studies, we developed a data collection application and experimentally collected data from undergraduate students in Thailand. We employed modified versions of Internet Addiction Test (IAT) and Bergen Facebook Addiction Scale (BFAS) for measuring SNS addiction. Our results identified the differences between excessive and normal users. In this article, we clarified the factors associated with addiction components reflected by IAT and BFAS question items. Our analytic results indicated the effective factors for addiction components.

本文言語	English
ホスト出版物のタイトル	Proceedings of 2018 5th International Conference on Business and Industrial Research
ホスト出版物のサブタイトル	Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	137-142
ページ数	6
ISBN（電子版）	9781538652541
DOI	https://doi.org/10.1109/ICBIR.2018.8391181
出版ステータス	Published - 2018 6 20
イベント	5th International Conference on Business and Industrial Research, ICBIR 2018 - Bangkok, Thailand 継続期間: 2018 5 17 → 2018 5 18

Other

Other	5th International Conference on Business and Industrial Research, ICBIR 2018
Country	Thailand
City	Bangkok
Period	18/5/17 → 18/5/18

ASJC Scopus subject areas

Business, Management and Accounting (miscellaneous)
Artificial Intelligence
Computer Science Applications
Industrial and Manufacturing Engineering
Social Sciences (miscellaneous)
Signal Processing
Information Systems and Management
Management Science and Operations Research

文献へのアクセス

10.1109/ICBIR.2018.8391181

他のファイルとリンク

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引用スタイル

Intapong, P., Charoenpit, S., Achalakul, T., & Ohkura, M. (2018). Assessing symptoms of excessive SNS usage based on user behavior: Effective factors associated with addiction components. In Proceedings of 2018 5th International Conference on Business and Industrial Research: Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018 (pp. 137-142). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBIR.2018.8391181

Assessing symptoms of excessive SNS usage based on user behavior : Effective factors associated with addiction components. / Intapong, Ploypailin; Charoenpit, Saromporn; Achalakul, Tiranee; Ohkura, Michiko.

Proceedings of 2018 5th International Conference on Business and Industrial Research: Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 137-142.

研究成果: Conference contribution

Intapong, P, Charoenpit, S, Achalakul, T & Ohkura, M 2018, Assessing symptoms of excessive SNS usage based on user behavior: Effective factors associated with addiction components. in Proceedings of 2018 5th International Conference on Business and Industrial Research: Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018. Institute of Electrical and Electronics Engineers Inc., pp. 137-142, 5th International Conference on Business and Industrial Research, ICBIR 2018, Bangkok, Thailand, 18/5/17. https://doi.org/10.1109/ICBIR.2018.8391181

Intapong P, Charoenpit S, Achalakul T, Ohkura M. Assessing symptoms of excessive SNS usage based on user behavior: Effective factors associated with addiction components. In Proceedings of 2018 5th International Conference on Business and Industrial Research: Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 137-142 https://doi.org/10.1109/ICBIR.2018.8391181

Intapong, Ploypailin ; Charoenpit, Saromporn ; Achalakul, Tiranee ; Ohkura, Michiko. / Assessing symptoms of excessive SNS usage based on user behavior : Effective factors associated with addiction components. Proceedings of 2018 5th International Conference on Business and Industrial Research: Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 137-142

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