TY - GEN
T1 - Assessing symptoms of excessive SNS usage based on user behavior
T2 - 5th International Conference on Business and Industrial Research, ICBIR 2018
AU - Intapong, Ploypailin
AU - Charoenpit, Saromporn
AU - Achalakul, Tiranee
AU - Ohkura, Michiko
N1 - Publisher Copyright:
© 2018 IEEE.
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
AN - SCOPUS:85050085791
T3 - 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
SP - 137
EP - 142
BT - Proceedings of 2018 5th International Conference on Business and Industrial Research
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 May 2018 through 18 May 2018
ER -