• 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.

• The Journal of Korean Association of Computer Education
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• v.16 no.5
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• pp.39-47
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• 2013

In the case of a weak self-control youth, young students easily tend to fall into addiction by using the Internet as a sensation seeking and an alternative to escape the reality. Until now, internet addiction self-diagnosis techniques such as Internet addiction scale have been developed and used to solve this kind of internet addiction issue. However, traditional methods do not assess the correlation of addiction and the effects of the environment systematically because they are simply composed of redundant addiction scale criteria and questionnaire forms of the diagnostic methods. Thus, in this paper, we propose a new internet addiction self-diagnosis technique based on Formal Concept Analysis (FCA) and implement a self-diagnosis system in order to make a systematic internet addiction self-diagnosis system. In addition, we analyze the correlation of the measured data based on different perspectives such as home environment, family relationships, peer relationships, school life, and so on.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.317-322
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• 2011

Korean adults' internet addiction diagnosis measure, K-scale developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items. This scale can diagnose user's internet addiction with individual's questionnaire items. Most of previous research works were tried to know reasons of internet addiction and to judge whether adolescents are addicted or not with their samples. In this research, it is the goal to find the key component to judge individual's internet addiction by using a decision tree in the data mining field and a principal component analysis in statistics. From the experimental results, we would discover that tolerance and preoccupation factor is the most important one to affect adult's internet addiction.

• Child Health Nursing Research
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• v.10 no.1
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• pp.48-58
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• 2004

Purpose: Internet addiction is a newly recognized problem in the adolescents. The purpose of this study was to identify and analyze the educational needs for Internet addiction in middle school students of Korea. Method: The subjects of this study were 450 middle school students. The data were collected from open and structured questionnaire about the educational needs for Internet addiction. Result: As a result of content analysis of educational needs for Internet addiction, 9 domains and 19 themes were categorized from 542 statements. 9 Domains are : Definition, Etiology, Status, Process, Diagnosis, Influence, Coping and Prevention of Internet Addiction and General Information of Internet Use. These results were revealed that middle school students had comprehensive education needs for Internet Addiction. Also, there were the difference of need contents and frequency between school boy and girl students. Most of students had high educational needs for Internet addiction based on school health care program. Conclusion: It would be necessary to develop on Internet addiction prevention program for adolescents concerning these findings. In the future, there should be study to identify the psychological characteristics of adolescent associated with Internet addiction.

• International Journal of Contents
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• v.13 no.2
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• pp.6-13
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• 2017

It is a well-known fact that Internet addiction adversely affects mental health of adolescents. This study was conducted to determine whether there is a difference in the experience of depression according to the level of Internet addiction. Participants included 73,238 middle and high school students from the Korean Youth Risk Behavior Web-based Survey (KYRBWS) conducted in 2010. The level of Internet addiction and the experience of depression were assessed using self-diagnosis questionnaires. Multiple logistic regression analysis was used to identify the association between Internet addiction and depression. High-risk and potential-risk Internet users were 1.61 times and 1.21 times more likely to experience depression, respectively, than normal Internet users. The increase in depression was more significant in girls students. Acknowledging the connection between Internet addiction and depression, the problem should be tackled from the perspective of school health by providing systematic Internet addiction prevention and treatment programs.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.35-45
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• 2011

Due to people's internet use growth and proliferation of ubiquitous technology, the internet addiction is becoming a social issue. However, the current adults' self-diagnosis measure about internet addiction, the K-scale, is a normal diagnostic method, which it does not consider user characteristics. In this research, we will propose a new internet addiction diagnostic method based on users' non-duty internet activities by using some questionnaire items to collect users' basic internet patterns used on duty related or non-duty related web sites. Since we simply ask for the basic internet usage pattern to each user who does not like to check frankly questionnaire items in the K-scale, the proposed method can find some hidden internet addicts compared to the K-scale with the SPSS statistical analysis tool.

• Journal of Korean Academy of Nursing
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• v.45 no.2
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• pp.251-261
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• 2015

Purpose: The purpose of this study was to develop an integrated internet addiction prevention program and test its effects on the self-regulation and internet addiction of elementary students who are at risk for internet addiction. Methods: A quasi-experimental study with a non-equivalent control group pretest-posttest design was used. Participants were assigned to the experimental group (n=28) or control group (n=28). Contents of the program developed in this study included provision of information about internet addiction, interventions for empowerment and methods of behavioral modification. A pre-test and two post-tests were done to identify the effects of the program and their continuity. Effects were testified using Repeated measures ANOVA, simple effect analysis, and Time Contrast. Results: The self-regulation of the experimental group after the program was significantly higher than the control group. The score for internet addiction self-diagnosis and the internet use time in the experimental group were significantly lower than the control group. Conclusion: The effects of the integrated internet addiction prevention program for preventing internet addiction in elementary students at risk for internet addiction were validated.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.47-55
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• 2012

We discovered the fact that the most important factor for judging adults' internet addiction in the K-scale method which was developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items, is tolerance and preoccupation factor from the experiments by using data mining techniques. In this research, we propose a new internet addiction diagnostic method based on the degree of tolerance considering users' non-duty internet activities. From some questionnaire participants, their feedbacks for the K-scale and the proposed diagnostic method were collected, and then we confirmed that the proposed user-centered diagnostic method is effective to find undiscovered addicts due to individuals's intention in the K-scale.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.88-99
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• 2017

This study investigated the clinical characteristics of the Internet addiction risk group using MMPI-2 and discussed whether the MMPI-2 can be used for diagnosis, evaluation and intervention of the Internet addiction risk group. We verified the difference in the MMPI-2 scales between the addiction-risk group and the general user group, and verified whether the substance-related scales MAC-R, AAP, and AAS scales can distinguish between Internet addiction risk group and general users. The results of the analysis of the MMPI-2 characteristics of 39 Internet addiction risk group and 21 general user group who visited internet addiction counseling center showed significant difference in the D, Pa, Pt, Sc, and Si scales on the clinical scale. There was no difference in the MAC-R, AAS, and APS scales between the Internet addiction group and the general user group. This suggests, that it is not possible to screen the Internet addiction risk group with the supplementary measure, and it is necessary to develop a new scale to diagnose internet addiction.

• Journal of the Korean Society of School Health
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• v.25 no.2
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• pp.214-221
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• 2012

Purpose: This study was to assess the association of internet addiction and depression, stress and suicidal ideation among adolescents. Methods: The authors have surveyed 2 middle schools and 2 high schools located in Seoul and analyzed 525 questionnaires. The questionnaire included the Internet Addiction Self Diagnosis Index (K-index), Child Depression Index (CDI), Stress Index and Reynold's Suicidal Ideation Index. Structural equational model analysis was done to explore the association between internet addiction and suicidal ideation. Results: The adolescent internet addiction groups were classified as the high risk group 12 (2.3%), the potential risk group 64 (12.2%) and the normal group 449 (85.5%). When classified according to sex, the high risk group is consisted of 8 (3.9%) boys, 4 (1.3%) girls and the potential risk group is consisted of 41 (64.1%) boys and 23 (35.9%) girls which leads to the conclusion that boys are relatively more addicted compared with girls. The group with more addiction showed higher depression scores, stress scores and suicidal ideation scores. The correlation analysis showed the significant relations between internet addiction and depression (r=0.263), stress (r=0.265) and suicidal ideation (r=0.284). According to the structural equation model analysis, internet addiction had direct effects on the depression and indirect effects on suicidal ideation. Stress had the significant direct effects on both internet addiction and depression. Depression had a significant direct effect on suicidal ideation. Conclusion: Internet addiction affects directly and indirectly an depression and suicidal ideation among adolescent.