TY - GEN
T1 - Assessing symptoms of excessive SNS usage based on user behavior and emotion
T2 - AHFE 2017 International Conference on Affective and Pleasurable Design, 2017
AU - Intapong, Ploypailin
AU - Charoenpit, Saromporn
AU - Achalakul, Tiranee
AU - Ohkura, Michiko
PY - 2018
Y1 - 2018
N2 - The use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. Such excessive and compulsive use has been categorized as a behavioral addiction. We assessed the symptoms of excessive SNS usage by studying user behavior and emotion in SNSs. In previous studies, we developed a data collection application as a tool for collecting data from questionnaires and SNSs by APIs. We experimentally collected data from undergraduate students at the Thai-Nichi Institute of Technology (TNI), Thailand. To improve our data analysis, we employed web log data and analyzed, including the combination with questionnaires data to clarify SNS usage behaviors and the factors associated with SNS addiction. Our analytical results identified the variables that distinguish excessive users from normal users.
AB - The use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. Such excessive and compulsive use has been categorized as a behavioral addiction. We assessed the symptoms of excessive SNS usage by studying user behavior and emotion in SNSs. In previous studies, we developed a data collection application as a tool for collecting data from questionnaires and SNSs by APIs. We experimentally collected data from undergraduate students at the Thai-Nichi Institute of Technology (TNI), Thailand. To improve our data analysis, we employed web log data and analyzed, including the combination with questionnaires data to clarify SNS usage behaviors and the factors associated with SNS addiction. Our analytical results identified the variables that distinguish excessive users from normal users.
KW - SNS
KW - Social network addiction
KW - Social networking sites
KW - User behavior
UR - http://www.scopus.com/inward/record.url?scp=85021704313&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021704313&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-60495-4_41
DO - 10.1007/978-3-319-60495-4_41
M3 - Conference contribution
AN - SCOPUS:85021704313
SN - 9783319604947
VL - 585
T3 - Advances in Intelligent Systems and Computing
SP - 387
EP - 397
BT - Advances in Affective and Pleasurable Design - Proceedings of the AHFE 2017 International Conference on Affective and Pleasurable Design, 2017
PB - Springer Verlag
Y2 - 17 June 2017 through 21 June 2017
ER -