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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Proceedings of 2018 5th International Conference on Business and Industrial Research
Subtitle of host publication	Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	137-142
Number of pages	6
ISBN (Electronic)	9781538652541
DOIs	https://doi.org/10.1109/ICBIR.2018.8391181
Publication status	Published - 2018 Jun 20
Event	5th International Conference on Business and Industrial Research, ICBIR 2018 - Bangkok, Thailand Duration: 2018 May 17 → 2018 May 18

Other

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

Fingerprint

Keywords

Addiction components
SNS
SNS Addiction
Social Networking Site

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

Cite this

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.

Research output: Chapter in Book/Report/Conference proceeding › 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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Access to Document

10.1109/ICBIR.2018.8391181