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 | |
| 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
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
}
TY - GEN
T1 - Assessing symptoms of excessive SNS usage based on user behavior
T2 - Effective factors associated with addiction components
AU - Intapong, Ploypailin
AU - Charoenpit, Saromporn
AU - Achalakul, Tiranee
AU - Ohkura, Michiko
PY - 2018/6/20
Y1 - 2018/6/20
N2 - 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.
AB - 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.
KW - Addiction components
KW - SNS
KW - SNS Addiction
KW - Social Networking Site
UR - http://www.scopus.com/inward/record.url?scp=85050085791&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050085791&partnerID=8YFLogxK
U2 - 10.1109/ICBIR.2018.8391181
DO - 10.1109/ICBIR.2018.8391181
M3 - Conference contribution
SP - 137
EP - 142
BT - Proceedings of 2018 5th International Conference on Business and Industrial Research
PB - Institute of Electrical and Electronics Engineers Inc.
ER -