• Informatization Policy
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• v.25 no.2
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• pp.20-45
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• 2018

This study aims to find the factors of Internet overdependence in adults, through the decision tree analysis model, which is a data mining method using National Information Society Agency's raw data from the survey on Internet overdependence in 2016. As a result of the decision tree analysis, a total 16 nodes of Internet overdependence risk groups were identified. The main predicated variables were the amount of time spent per smart media usage in weekdays; amount of time spent per smart media usage in weekends; experiences of purchasing cash items; percentage of using smart media for leisure; negative personality; percentage of using smart media for information search and utilization; and awareness on good functions of the Internet, all of which in order had greater impact on the risk groups. Users in the highest risk node spent the smart media for more than 5 minutes per use and less than 5~10 minutes in weekdays, had experiences of cash item purchase, and had lower level of awareness on the good functions of the Internet. The analysis led to the following recommendations: First, even a short-time use has higher chances of causing Internet overdependence, and therefore, guidelines need to be developed based on research on the usage behavior rather than the usage time. Second, self-regulation is required because factors that affect overindulgence in games, such as the cash items, increase Internet overdependence. Third, using the Internet for leisure causes higher risk of overdependence and therefore, other means of leisure should be recommended.

• Korean Journal of School Psychology
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• v.18 no.2
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• pp.269-290
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• 2021

This study was conducted to examine the moderated mediation effect of self-esteem through internet overdependence on the effect of academic stress on depression and anxiety. Surveys were conducted as part of the 13th wave of the Korea Welfare Panel Study. The survey included academic stress, internet overdependence, depression and anxiety, and self-esteem scales. A total of 383 middle school students completed surveys. Data was analyzed using SPSS 21.0 and SPSS PROCESS Macro. There were three major results. First, internet overdependence partially mediation the effect of academic stress on depression and anxiety. Second, self-esteem moderated the relationship between internet overdependence and depression and anxiety. Third, self-esteem also moderated the mediating effect of academic stress on depression and anxiety through internet overdependence. These results indicate that self-esteem is a protective factor against the negative effects of internet overdependence on mental health and of academic stress on depression and anxiety in middle school students. This paper discusses the implications of these results, this study's limitations, and suggestions for future studies.

• Informatization Policy
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• v.25 no.1
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• pp.82-98
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• 2018

Internet overdependence has become a public health concern in Korea. It is well known that family and community level efforts could alleviate possible harms from Internet use. However, little research exists regarding smartphone overdependence. This study examines factors affecting smartphone overdependence and, specifically, help-seeking for smartphone overdependence among Korean adolescents. The study is based on parental mediation theory and uses a help-seeking framework. The results indicate that preventative education provided by school and community increases the levels of awareness of both the possible harms from smartphone use and the option of accessing the mental health service, while it was not effective in preventing smartphone overdependence. Parental mediation was a protective factor for smartphone overdependence but was negatively associated with the intention to use the mental health service. In sum, behavioral problems related to smartphone use require multidimensional preventative efforts from both the family and the community. It is suggested that effective preventive education methods are developed for parents and adolescents.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.293-309
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• 2022

Purpose - The purpose of this study is to explore the possibility of predicting the degree of smartphone overdependence based on mobile phone usage patterns. Design/methodology/approach - In this study, a survey conducted by Korea Internet and Security Agency(KISA) called "problematic smartphone use survey" was analyzed. The survey consists of 180 questions, and data were collected from 29,712 participants. Based on the data on the smartphone usage pattern obtained through the questionnaire, the smartphone addiction level was predicted using machine learning techniques. k-NN, gradient boosting, XGBoost, CatBoost, AdaBoost and random forest algorithms were employed. Findings - First, while various factors together influence the smartphone overdependence level, the results show that all machine learning techniques perform well to predict the smartphone overdependence level. Especially, we focus on the features which can be obtained from the smartphone log data (without psychological factors). It means that our results can be a basis for diagnostic programs to detect problematic smartphone use. Second, the results show that information on users' age, marriage and smartphone usage patterns can be used as predictors to determine whether users are addicted to smartphones. Other demographic characteristics such as sex or region did not appear to significantly affect smartphone overdependence levels. Research implications or Originality - While there are some studies that predict smartphone overdependence level using machine learning techniques, but the studies only present algorithm performance based on survey data. In this study, based on the information gain measure, questions that have more influence on the smartphone overdependence level are presented, and the performance of algorithms according to the questions is compared. Through the results of this study, it is shown that smartphone overdependence level can be predicted with less information if questions about smartphone use are given appropriately.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.61-73
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• 2023

As smartphone use is increasing within the middle-aged population, society should pay closer attention to the mental health problems associated with smartphone addiction. This study examines the possibility that depression, anxiety, and ADHD can be interpreted not only as negative aspects, but also as positive aspects, in an addiction-related individual. We used habitual and addictive smartphone behavior as the dependent variables; anxiety, ADHD, depression, and habitual smartphone use as the independent variables; and self-control as a moderating variable. Depression and ADHD in smartphone users were found to be associated with higher levels of addictive smartphone use. Anxiety was having negative effect on addictive smartphone use. However, habitual smartphone use didn't significantly affect addictive smartphone use. Further analysis indicated that depression, anxiety, and ADHD have mediating effects on habitual smartphone use. This study confirmed that psychological factors in adults, as well as habitual/addictive smartphone use and self-control, significantly influence smartphone overdependence.

• Journal of Service Research and Studies
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• v.12 no.1
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• pp.36-48
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• 2022

As the use of smartphones has rapidly increased due to the development of digital technology, the expansion of smartphones, and the COVID-19 incident, dependence on smartphones and the Internet is emerging as a serious social problem. As one of the solutions to the smartphone overdependence problem, the government and companies are releasing smartphone overdependence prevention applications. However, research on the effectiveness of smartphone overdependence prevention applications is insufficient. Therefore, this study selects 25 applications serviced in Korea as analysis targets and evaluates smartphone overdependence prevention applications in terms of function and service using the FGI survey method to identify problems and propose improvements. In the function evaluation, the functions of blocking illegal/harmful apps/websites, limiting smartphone usage time, and monitoring smartphone usage status are provided in most applications, so satisfaction scores are also highly evaluated. However, functions such as location check, smombie prevention, and body camphishing prevention served by some applications are evaluated low due to poor performance and poor accuracy. Classified by service provider, government-providing applications need to accurately perform functions and improve convenience of use. Mobile-Carrier-providing applications need to improve connectivity with other carriers and compatibility with other smart devices like smartphone, tablet, etc. Other private enterprise-providing applications need to open AS channels such as customer service centre and chatbot to improve service.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.383-393
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• 2018

The purpose of this study was to examine impact of multi-cultural family on subjective health status, mental health and internet addiction tendency compared to general family in Korean adolescent. The data were derived from the 13th Korea youth risk behavior web-based survey 2017 in Korea and analyzed considering complex samples analysis. The subjects were general families 61,320(98.5%) and multi-cultural families 956(1.5%). Multi-cultural youth had higher rates of unhealthy and unhappy and the percentage of depression, suicidal ideation, weekday and weekend smartphone overdependence, experience problems with using smartphone in friend than general youth. In addition, suicidal ideation 1.270 times, weekday and weekend smartphone overdependence 1.359 times and 1.297 times respectively and experience problems with using smartphone in friend 1.603 times was increased in multi-cultural youth compared to general youth. Therefore, it is very meaningful that this study provided basic data of intervention program to improve mental health and internet addiction tendency of multi-cultural youth.

• Informatization Policy
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• v.24 no.1
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• pp.100-112
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• 2017

This study verified the relationship between internet use, family relationship, and cyber violence victimization by comparing models. 2013 The survey of Internet addiction of National Information Society Agency was used in this study to verify relationship between variables. We compared the model which internet use impact cyber violence victimization through mediating fully family relationship and other model which internet use influence cyber violence victimization through mediating partially family relationship. Based on final model (model 1), More internet use was related to lower family bond and lower family bond was associated with more cyber violence victimization. This results imply that family relationship have an important role in relationship between internet use and cyber violence victimization rather than internet use impact directly cyber violence victimization.

• Journal of the Korean Society of School Health
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• v.30 no.3
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• pp.181-193
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• 2017

Purpose: This is a qualitative descriptive study with the purpose of identifyng the health problems and related factors of socially vulnerable school-age children in Seoul, South Korea. Methods: Two focus group interviews and two individual interviews were conducted with eleven participants. They were two class teachers, three school nurses and two daycare teachers working at elementary schools and three social workers and a welfare worker working at community childcare centers. Data were analyzed using qualitative content analysis. Results: The identified psychosocial problems were 'distracting and excessive behavior', 'depression and helplessness,' 'aggression and violent behaviors', and 'internet overdependence'. The revealed physical health problems were 'poor hygiene', 'obesity', and 'gastrointestinal problems'. In addition, the fact that physical and psychosocial problems are closely inter-linked was reaffirmed through practical examples. Meanwhile, socioeconomic, family environmental, social experiential and individual factors were found to affect children's health. Relationships within a family or a peer group and healthy lifestyle were considered critical issues to deal with in order to improve the childrens' health status. Conclusion: It was proved that socially vulnerable school-age children have various physical and mental health problems due to multiple factors. Therefore, it is required to design nursing approaches that help them achieve optimal health status.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.10 no.3
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• pp.185-197
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• 2016

This study purposed to analyse smartphone addiction characteristics of people with disabilities and suggested to establish related prevention policies for them. The analysis of 20-50 aged 494 disabled people resulted, that the smartphone addiction rate of the disabled people was 12.55%. Smartphone use-, mobile messenger-, SNS- and game time were nearly the same or higher than the potential and high risk group from the survey on internet overdependence 2015. In the question about the awareness of smartphone addiction they answered the smartphone addiction is severe in the society, and they are aware of smartphone addiction counseling center. But they will not get a service form the centers. That suggests, that the government should promote the policy of smartphone addiction for the disabled. It should provide institutional strategy and structural change for prevention of smartphone addiction for the disabled.