• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.4
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• pp.1548-1568
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• 2015

Korea's Compulsive Shutdown System bans online game providers from offering their services to children under 16 years of age from midnight to 6 a.m. Although it was introduced only after lengthy rounds of discussion, controversy over the system still continues. The key question is whether the system, which unilaterally emphasizes juvenile protection, infringes upon the freedom of playing games for teenagers, the freedom of business for game products related business operators and the right to foster children for parents, which are basic rights under the Constitution. It is very encouraging that the State took up the issue and prepared various systems for juvenile protection through the Compulsive Shutdown System. Yet the government has to plan as comprehensive and effective of a measure as it possibly can by predicting the trends of technology development and game use, and also set detailed standards to ensure that the system should not become an excessive or inappropriate regulation. Although the State's compulsive intervention may be positive since it is hard to expect a self purification capability to exhibit itself concerning game use among teenagers, a plan to prevent game addiction among adolescents from the long-term and fundamental perspectives should be prepared as well.

• Child Health Nursing Research
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• v.29 no.2
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• pp.128-136
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• 2023

Purpose: This study aimed to identify the main keywords and research topics used in research on problematic smartphone use (PSU) among children (6-12 years old), including parental factors. Methods: The publication period for the literature was set from January 2007 to January 2022, as smartphones were first released in 2007. In total, 395 articles were identified, 230 of which were included in the final analysis. Text network analysis was performed using NetMiner 4.5. Results: Research on this topic has steadily increased since 2007, with 40 papers published in 2021. Eight main research topics were derived: group 1, parental attitudes; group 2, children's PSU behavior and parental support; group 3, family environment and behavioral addiction; group 4, social relationships; group 5, seeking solutions; group 6, parent-child relationships; group 7, children's mental health and school adaptation; and group 8, PSU in adolescents. Conclusion: Parental factors related to PSU have been studied in various aspects. However, more active research on school-age children's PSU needs to be conducted due to the paucity of research in this population compared to studies conducted among adolescents. The results of this study provide useful data for selecting research topics in the field of PSU.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.68-80
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• 2022

Since the launch of AI, technology development to implement complete and sophisticated AI functions has continued. In efforts to develop technologies for complete automation, Machine Learning techniques and deep learning techniques are mainly used. These techniques deal with supervised learning, unsupervised learning, and reinforcement learning as internal technical elements, and use the Big-data Analysis method again to set the cornerstone for decision-making. In addition, established decision-making is being improved through subsequent repetition and renewal of decision-making standards. In other words, big data analysis, which enables data classification and recognition/recognition, is important enough to be called a key technical element of AI function. Therefore, big data analysis itself is important and requires sophisticated analysis. In this study, among various tools that can analyze big data, we will use a Python program to find out what variables can affect addiction according to smartphone use in a decision tree environment. We the Python program checks whether data classification by decision tree shows the same performance as other tools, and sees if it can give reliability to decision-making about the addictiveness of smartphone use. Through the results of this study, it can be seen that there is no problem in performing big data analysis using any of the various statistical tools such as Python and R when analyzing big data.

• Journal of Families and Better Life
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• v.20 no.5
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• pp.149-166
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• 2002

In this study, 1 have analyzed the state of the use of information technology by the at-risk children who are residing in Husan metropolitan area. The ultimate goal of this study is to help ensure the healthy development of the children and improve the quality of their lives in this information-oriented society. For this research, 1 surveyed 183 children living in an institution or a low-income family in Busan metropolitan area. The survey questionnaire was designed to obtain information on the respondents, socio-demographic characteristics, computer-related conditions of the immediate and social environments, patterns of computer and Internet use, their experience and degree of so called, Net-generation syndrome, Internet addiction disorder, changes in social and familial life caused by Internet use, and exposure to pornographic materials. The results show that 95.9 % of at-risk children in Husan own a computer, 60.9 % of those computers being Pentium Ⅲ. A majority of the children (74.9 %) are connected to Internet at a high-speed, using such devices as LAN, ADSL or cables. About seventy-six percent of the children have used a PC and Internet less than two years. In other words, a majority of them have not used those for a long period of time. The main results of the research are summarized in the following: There is a significant difference among at-risk children in terms of experiences in computer and Internet use according to their grade levels. There is a gender difference in the amount of time spent on computer and Internet. Boys spend more time every week on computer and Internet than girls do. There is a significant difference in the pattern of computer and Internet use, according to the type of their risk, and grade level. The so-called 'Net Generation Syndrome' is not serious in this group. A majority of the at-risk children think that Internet is more interesting than TV. They hardly shop on Internet, and they don think the advertisements on Internet are a serious problem. Also, unlike many people assumptions, their desire to communicate through on-line chatting was very low. They do not tend to buy computer game programs, and Internet Addiction Disorder was not pronounced among them. The at-risk children rarely had an exposure to pornographic materials in the cyber space. However, the exposure was more frequent for institutionalized children than children in low-income families. These results point to a need for a policy to improve the welfare of at-risk children and guarantee their right to information.

• Journal of Institute of Convergence Technology
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• v.2 no.2
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• pp.5-12
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• 2012

Recently, peoples are suffering from various psychological disorders such as addiction, phobia, depression, and bipolar disorder. Moreover, children with ADD/ADHD and autism are increasing. Korean tends to regard the psychological disorders as taboo. Therefore, it is unusual case that the mental patient gets the psychological therapy. Virtual reality has come to the spotlight as a useful tool for the therapy due to its anonymity and easy accessibility. The therapy in the virtual reality is called cyber-therapy. Emotion of the patient is important for the treating process. The objective of this paper is to review the researches on the treatment of psychological disorders using the virtual reality and prospect the affective interaction technology for the cyber-therapy.

• Educational Technology International
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• v.18 no.1
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• pp.27-47
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• 2017

Smart devices have a variety of affordances to foster meaningful learning in elementary school. For the design of smart learning environments, more research is needed to understand students' smart device usage and their perception of learning with smart devices. In order to capture smart device usage profiles among elementary school students in South Korea, this study carried out Latent Profile Analysis with three constructs: information search, communication, and study. Participants (n=253), who ranged from the fourth to the sixth grade students, were classified into three profiles of smart device usage: low-activity, communication, and high-activity groups. The smart device usage profiles varied depending on smartphone usage experience, and the profiles were significantly related with smart device addiction, not with smart device usage ability. Perceptions of smart education were also significantly associated with the profiles. The high-activity group showed more positive attitudes toward smart education than the others, but no significant difference was found in regard to negative attitudes. Based on the findings, this study discussed implications for the use of smart devices in elementary school.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.147-148
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• 2016

The purpose of this paper is to investigate the diffusion process of mobile internet use in Korea and to explore the determinants driving MIU. A survey was conducted to collect data to empirically assess the research model. In total, 543 usable responses were collected using a questionnaire derived from previous research. Both the structural equation model and partial least squares were used to study the model concerning different user groups. Findings, The results indicate that there are significant differences in the users' perceptions of mobile internet usage during its different innovation diffusion stages. Of the determinants, perceived enjoyment is the most important predictor of mobile internet use. In addition to motivating users by making services more enjoyable, the findings suggest that practitioners should take the differences of adopter groups into account. Making the mobile internet easy to use and compatible with users' lifestyles would promote the use of technology as well.

• Educational Technology International
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• v.21 no.1
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• pp.97-123
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• 2020

The purpose of this study is to investigate the emotions of students toward using digital textbooks, and to examine the factors affecting the emotions. This study examined the relationship between individual characteristics and computer usage, students' emotions, and the perceived learning effects. For this study, 2,950 1st grade middle school students participated in a survey which measured individual characteristics, computer usage behavior, emotions toward using digital textbooks, and perceived learning effects of digital textbooks. The results showed that positive emotions toward using digital textbooks were higher than negative emotions. The students' positive emotions were most affected by intrinsic motivation, self-regulated learning, and student's use of computers for learning and entertainment. Similarly, perceived learning effects were positively correlated to intrinsic motivation and self-regulated learning, but the students' positive emotions towards using digital textbooks was the strongest predictor. Digital textbook efficacy was the most influential factor that affected the students' negative emotions, while computer addiction was associated with negative emotions.

• Journal of applied mathematics & informatics
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• v.41 no.6
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• pp.1377-1391
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• 2023

When sensitive topics such as gambling habits, drug addiction, alcoholism, tax evasion tendencies, induced abortions, drunk driving, past criminal involvement, and homosexuality are the focus of open or direct surveys, it becomes challenging to obtain accurate information due to nonresponse bias and response bias. People often hesitate to provide truthful answers. Warner introduced an ingenious method to address this issue. In this study, a new and unrelated randomized response model is proposed to eliminate misleading responses and nonresponses caused by the stigma associated with the attribute being investigated. The proposed randomized response model allows for the estimation of the population percentage with the sensitive characteristic in an unbiased manner. The characteristics and recommendations of the proposed randomized response model are examined, and numerical examples are provided to support the findings of this study.

• Convergence Security Journal
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• v.13 no.5
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• pp.187-196
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• 2013

Recently, school violence has come to the fore as a social phenomenon. "Comprehensive countermeasures for eradication of school violence" as a policy safety are created by Safety Administration bureau and Ministry of Education, Science and Technology under the chairmanship of the Office of Prime Minister on Feb,2012. This policy is supposed to be test-operated for a year from March, 2012. but voices of concern about effectiveness have been brought up by some critics greatly. So 172 teachers in high school in Seoul were surveyed in order to examine the effectiveness of "Comprehensive countermeasures for eradication of school violence" with a questionnaire composed of 5 point Likert-type. Among the fundamental measures, there were a total of 12 countermeasures about 'Practices for personality education' (with the exception of unrelated one question). 'Expanding opportunities of various art education and Supporting reading activities' of them ranked highest on average. Then, 'Reflecting results of special feature related to character develops to the Selection of Admission officers and Self-directed learning was the next. And among the three countermeasures about 'Reinforcement of roles of the family and society', 'Pan governmental conducting annual campaign related to broadcast, press, civic group to combat school violence was highest. Finally, among the 7 countermeasures about 'Countermeasure about harmful factors of games and internet addiction', 'Reinforcement of preventive discipline about game and internet addiction' was highest and 'Development and Promotion of various educational contents for preventive discipline about game and internet addiction' was the next.