• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.103-112
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• 2019

Online self-disclosure was hypothesized as a mediating variable, explaining the relationship between Facebook access motivation (relationship expansion, curiosity about others' life, maintenance of social connection, social pressure from others, habitual use, impression management, searching for information, and content sharing) and Facebook addiction. Data came from 407 high school students in the Busan, and Gyeongnam provinces. Structural analysis was used to specify the relations among measured construct. Facebook access motivation of curiosity about others' life, Facebook access motivation of maintenance of social connection, Facebook access motivation of social pressure from others, Facebook access motivation of habitual use, and Facebook access motivation of impression management were significant predictors of Facebook addiction. Online self-disclosure mediates between Facebook access motivation of curiosity about others' life, Facebook access motivation of social pressure from others, Facebook access motivation of searching for information & Facebook access motivation of content sharing and Facebook addiction. Viewing online self-disclosure as a mediator has important implications for social media addiction counseling practice.

• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1325-1334
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• 2014

Recently game addiction of young people has become a social issue. Therefore, many studies, mostly surveys, have been conducted to diagnose game addiction. In this paper, we suggest how to distinguish levels of addiction based on EEG. To this end, we first classify four groups by the degrees of addiction to internet games (High-risk group, Vigilance group, Normal group, Good-user group) using CSG (Comprehensive Scale for Assessing Game Behavior) and then measure their Event Related Potential(ERP) in the Go/NoGo Task. Specifically, we measure the signals of P300, N400 and N200 from the channels of the NoGo stimulus and Go stimulus. In addition, we extract distinct features from the discrete wavelet transform of the EEG signal and use these features to distinguish the degrees of addiction to internet games. The experiments in this study show that High-risk and Vigilance group exhibit lower Go-N200 amplitude of Fz channel than Normal and Good-user groups. In Go-P300 and NoGo-P300 of Fz channel, High-risk and Vigilance groups exhibit higher amplitude than Normal and Good-user group. In Go-N400 and NoGo-N400 of Pz channel, High-risk and Vigilance group exhibit lower amplitude than Normal and Good-user group. The test after the learning study of the extracted characteristics of each frequency band from the EEG signal showed 85% classification accuracy.

• Journal of IKEEE
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• v.19 no.2
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• pp.237-243
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• 2015

Recently, eight out of ten people have smartphone in Korea. Also, many applications of smartphone have increased. So, smartphone addiction has become a social issue. Especially, many people in smartphone addiction can't control themselves. Sometimes they don't realize that they are smartphone addiction. Many studies, mostly surveys, have been conducted to diagnose smartphone addiction, e.g. S-measure. In this paper, we suggest how to detect smartphone addiction based on ECG and Eye Gaze. We measure the signals of ECG from the Shimmer and the signals of Eye Gaze from the smart eye when the subjects see the emotional video. In addition, we extract features from the S-transform of ECG. Using Eye Gaze signals(pupil diameter, Gaze distance, Eye blinking), we extract 12 features. The classifier is trained using Random Forest. The classifiers detect the smartphone addiction using the ECG and Eye Gaze signals. We compared the detection results with S-measure results that surveyed before test. It showed 87.89% accuracy in ECG and 60.25% accuracy in Eye Gaze.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.89-102
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• 2017

This study aims at examining our social recognition on and the topographic map of a game through the discourse analysis on games shown from the Korean media coverage. Media don't reflect the reality as a mirror but represent it in certain manner. If so, how Korean media organize and represent the meaning of a game? This study analyzed the game discourse from 479 articles on games by 5 daily newspapers including Chosun, Joongang, Dong-A, Kyunghyang and the Hankyoreh during 4 years' Park Geun-hye administration. Research findings show that as a single issue frames of game addiction, addiction damages and AR games including $Pok\acute{e}mon$ Go counted for much reaching up to nearly half but discourse on the play culture as an essence of a game occupied only 3.8%.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.255-260
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• 2013

This study was attempted to identify the differences of mental health and media use according to the addiction of communication media. Data collection was surveyed using interview and questionnaires by 250 subjects from March 12 to May 13, 2012. The results were as follows : First, with regard to mobile phone use time for communication in the use of over 2 hrs, subjects replied that addictive group was significantly higher than non-addictive group($X^2$=8.51, p=.00). Secondly, in case often depression, the risk ratio of addictive group was significantly higher 4.0 times than non-addictive group(OR=4.0, 95%, Cl=2.4-36.9). In conclusion, in order to prevent the addictive use of communication media, it is needed to make various environment such as sound life rhythm maintenance, systemic and periodic education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.346-353
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• 2020

The purpose of this study was to explore types of longitudinal changes in interactions between mothers and 4-year-old children in primary school as well as the effects on media device addiction. To explore interaction types between mothers and children, latent class growth modeling (LCGM) and BCH were used in a three-step approach. Data from the 6-10th wave of the Panel Study of Korea Children were used. First, the trajectory of the mother-child interactions was linear and decreased across time. This linear decrease was classified into the following three trajectories: high-decreasing, average-deceasing, and low-decreasing. Second, BCH was performed to examine media device addiction in each trajectory, and the findings show that children who had low initial mother-child interactions over time were more likely to experience daily disturbances in adaptive functions such as withdraw or tolerance than other groups of children. The results indicate that maximizing the quality of mother-child interactions in childhood through primary school can lower media device addiction in children.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.1-10
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• 2014

Smartphone addiction and internet addiction cause a serious negative social problem due to the spread of the new media which is combined with the ubiquitous function. To evaluate the degree of Internet addiction and smartphone addiction of college students in the nearby areas, K-scale of internet addiction self-diagnosis scale and S-scale of smartphone addiction self-diagnosis scale for Korean adults were applied. This study aims to develop the survey questions, which get the basic internet patterns and access the web site, and to find the hidden addicts that is not found by general K-scale and S-scale using computers and smartphones. The result shows that a method of addiction diagnosis using the tolerance degree which is calculated by smart phone's internet main activities and using time(anticipated and real time) apart from K-scale and S-scale. So hidden internet and smartphone addicts could be found through the SPSS statistical analysis program.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.99-110
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• 2023

This study analyzed 817 articles published in Korean professional journals over the past three years, from 2020 to 2022, using text mining techniques to identify trends in addiction research in Korea and explore development directions. The analysis results are as follows. First, as a result of the analysis of the top keywords, online addiction studies such as smartphones, games, Internet, gambling, and relationship addiction were prominent as the top keywords. Second, as a result of TF-IDF analysis, many addiction studies related to behavioral addiction such as smartphones, games, the Internet, and work addiction have been conducted over the past three years, and in particular, there are many studies on addiction problems such as smartphones, games, and the Internet that have not yet been clinically diagnosed as addiction problems. This is the same as the result of word frequency analysis, and it can be interpreted that recent studies have been remarkably conducted on more diverse addiction problems. Third, the 2-gram analysis shows that words that mainly correspond to behavioral addiction, such as smartphones, games, and the Internet, appear side by side with the keyword addiction, and among them, words paired with smartphones are mentioned a lot in research papers and are being studied. Fourth, as a result of the CONCOR analysis, there were five clusters: a study on universal addiction issues such as alcohol use disorders and the Internet, a study of recovery on drug and gambling addiction, a study on mobile devices and media addiction, a study on the latest trends related to behavioral addiction, and other addiction issues. Finally, based on the results of this study, a direction for future addiction-related research was suggested.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1032-1042
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• 2017

Many empirical studies indicate that SNS use has increased substantially over the last few years. People use SNSs for social purposes, mostly related to the maintenance of existing offline contacts. Such usage may have led to compulsive use of SNSs resulting in addictive behavior. This paper aims to explore factors affecting SNS addiction. Specifically, the study examined the role of personality traits in the Facebook usage among college students. Compared to the rest of world, daily log on the site has grown very quickly in South Korea. And college students constitute a vast majority of Facebook users in South Korea. Results from a survey of 235 college students revealed that extraversion and neuroticism positively predicted Facebook usage. Students who were high in extraversion were more likely to update their profiles, share photo and images with others and give feedback on other's posts. Similarly, those who were high in neuroticism were more likely to share photo and images with others and update their profiles. These findings support previous research. Furthermore, in terms of the effect of personality on SNS addiction, this study found that consciousness was negatively associated with Facebook addiction, while extraversion and neuroticism were positively associated with Facebook addiction. Based on these findings implications and directions for futures studies are discussed.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.161-168
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• 2015

Given social problems of social network service (SNS) addiction, it is critical to understand user's formation mechanism of SNS addiction. Since a number of studies have demonstrated the negative outcomes of excessive SNS use, the researchers examined important antecedents of SNS addiction as SNS habit that is considered as a key driver of SNS addiction. Moreover, the effects of self-expression, network management, and information search on SNS addition formation were investigated. The proposed theoretical model was empirically tested by using longitudinal survey data collected from 206 Facebook users. The analysis results indicate that SNS habit plays an important role in forming SNS addiction. Further, self-expression, network management, and information search influence SNS addiction through SNS habit. The analysis results offer some in-depth perspectives to SNS providers and government that establish policies or digital convergence strategies to induce healthy SNS use.