International Journal of Affective Engineering
Online ISSN : 2187-5413
ISSN-L : 2187-5413
Original Articles
Analysis of Questionnaires on User Behavior for Assessing Symptoms of Excessive SNS Usage
Ploypailin INTAPONGSaromporn CHAROENPITTiranee ACHALAKULMichiko OHKURA
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2018 Volume 17 Issue 1 Pages 9-17

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Abstract
The use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. Such often excessive and compulsive use has been categorized as a behavioral addiction. This research is conducted to assess the symptoms of excessive SNS usage by studying user behavior in SNSs. We designed and developed a data collection application as a tool for gathering data from questionnaires and SNSs by APIs from 177 volunteers at the Thai-Nichi Institute of Technology (TNI), Thailand. This paper introduces the analysis results of questionnaire data to find the factors associated with SNS addiction. Our analytic results identified potential candidates for the key components of SNS addiction.
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© 2017 Japan Society of Kansei Engineering
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