• Journal of Family Relations
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• v.22 no.4
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• pp.157-179
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• 2018

Objectives: This study aimed to examine the relationship between Chinese adolescents' academic performance and smartphone overdependence as well as the moderating effects of parental involvement. Method: For this study, a survey was conducted with 472 adolescent students in three middle schools (n = 224) and three high schools (n = 248) in Shanghai, China. The survey consisted of the "S-Scale for Smartphone Addiction," the "Parental Involvement Scale," and questions regarding perceived academic performance using a demographic questionnaire. Results: The following are the major findings. First, after controlling for the students' demographic characteristics, hierarchical multiple regression analysis revealed that the students' perceived academic performance was negatively related to the levels of smartphone overdependence. Second, this study found significant moderation effects of parental involvement on the relationship between academic performance and smartphone overdependence. Chinese adolescents with low levels of perceived academic performance and high levels of perceived parental involvement showed high levels of smartphone overdependence. Finally, this study found significant moderation effects of parental involvement on the relationship between academic performance and smartphone overdependence only in middle-school students. Conclusions: These results indicate the need for healthy smartphone use and education and therapy programs for Chinese parents and adolescent children to prevent smartphone overdependence.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.225-230
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• 2019

The purpose of this study is to provide basic data that mother's smart phone overdependence prevention education are needed by confirming the relationship between mother' s smartphone overdependence and parent role intelligence. The research subjects were 220 mothers of 0-2 years old who are attending 15 day care centers in Cheong-ju, Chung-buk. The research tool used smartphone overdependence scale, and parent role intelligence scale. For the analysis of the study, frequency analysis, Pearson's Ratio correlation and regression analysis were performed. The results showed that mother's smartphone overdependence was negatively correlated with parental role intelligence and negatively correlated with developmental stimulation, parenting, support, and management. The multiple regression analysis showed that there was a significant negative effect on the smartphone overdependency, parent role intelligence, and sub factors. This suggests that smartphone overdependence prevention education for mother should be needed for nurturing of desirable infants.

• 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.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.309-315
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• 2021

Purpose of this study is to analyze the correlation between the level of smartphone overdependence and depression among the high school student. Study subjects were 50 high school student. The assessment of the level of smartphone overdependence was used by the smartphone overdependence scale for adolescents and the assessment of the level of depression was used by Korean ver. of patient health questionnaire-9. As the results, the positive correlation was showed between the level of smartphone overdependence and depression and the statistically significant difference was showed. It was found that the higher the level of smartphone overdependence among high school students, the higher the level of depression. The smartphone overdependence among high school students could contribute to increase the level of depression. Thus, based on these results of this study, it is necessary to consider to reduce the level of smartphone overdependence and depression among high school students and subsequent studies should be conducted to clarify the casual relationship and influences of the level of smartphone overdependence and depression among high school students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.222-230
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• 2019

The purpose of this study was to investigate the identified groups depend on the relationship of smartphone overdependence and adolescents' perception of smartphone overdependence itself. The study also explored gender positions in classified groups and the relationship between irrational perception of smartphone and positive emotion while smartphone usage. The participants to the study were 2,033 adolescents, aged between 10 and 19 from a smartphone overdependence survey of the National Information Society Agency. As a result of the qui-square analysis and MANOVA, four groups were classified depend on perception of smartphone overdependence and related smartphone overdependence behaviors. Second, gender did not show any differences in groups. Third, adolescents with lower perception in smartphone overdependence showed lower perception of smartphone usage compared to other adolescents in three groups. Fourth, adolescents with constructive perception in smartphone overdependence reported positive emotions. The results of this study suggest that it is necessary to understand adolescents' smartphone overdependence and look together with the irrational perception of smartphone.

• The Journal of Korean Society for School & Community Health Education
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• v.20 no.3
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• pp.15-27
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• 2019

Objectives: The purpose of this study is to investigate the effects on smartphone overdependence of out-of-school youths. Methods: This was a cross sectional study design using the out of school youth Panel Survey(2017). We conducted an empirical study consisting of 318 participants with using descriptive statistics, Pearson's correlation coefficients, hierarchical multiple regression analysis to identify factors influencing smartphone overdependence. Results: Smartphone overdependence correlated positively with depression and carrier barriers such as lack of career informations, career development anxiety and financial difficulties. The main factors of smartphone overdependence in adolescents out of school were depression (β = .22, p = .002), gender (β = .21, p <.001), future anxiety (β = .15, p = .0.0), subjective health status (β = .13, p = .028), smoking (β = .13, p = .032). Conclusion: Smartphone overdependence management programs for out-of-school youths should be included emotional and informational support to alleviate anxiety, fear of failing in one's career, as well as mental and psychological interventions to reduce level of depression.

• 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.

• Informatization Policy
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• v.25 no.4
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• pp.65-83
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• 2018

This study examined the effects of smartphone usage types and excessive expectation for smartphone on adolescents' smartphone overdependence. It utilized the data of 3,454 adolescents (1,758 males and 1,696 females), aged between 13 and 19 from a smartphone overdependence survey of the National Information Society Agency. As a result of the hierarchical multiple regression analysis, age and household income had a negative effect on smartphone overdependence. Weekly smartphone usage time positively affected the serious consequences (sub-factor of smartphone overdependence). Among the different types of smartphone usage, information seeking, SNS, gaming, and the excessive expectation for smartphones had positive impact on smartphone overdependence. Smartphone usage for leisure seeking did not affect smartphone overdependence, but it negatively influenced serious consequences. Messenger use did not affect smartphone overdependence, but the use had a positive effect on salience, and a negative effect on serious consequences. The results of this study suggest that it is necessary to identify the types of smartphone use as well as the usage time to understand the smartphone dependence of adolescents. In addition, it seems necessary to recognize and correct the irrational excessive expectation for smartphone in order to prevent dependence and implement effective interventions.

• Journal of the Korean Applied Science and Technology
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• v.39 no.5
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• pp.596-604
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• 2022

This study aimed to examine the mediating effects of anxiety between adolescents' smartphone overdependence and fatigue recovery, and to secure the evidence data for adolescents' smartphone overdependence intervention. Among the 16th Korea Youth Risk Behavior Survey, 54,948 students were included. Data were analyzed using Pearson correlation coefficients, factor analysis, mediating effect analysis. The results were as follows. Smartphone overdependence had a direct effect on fatigue recovery and an indirect effect on fatigue recovery through anxiety. Smartphone overdependence had a significant effect on anxiety and fatigue recovery. Also, anxiety is verified as the mediation effect between smartphone overdependence and fatigue recovery. When we prepare intervention programs which improve fatigue recovery for adolescents, we need to consider anxiety.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.269-280
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• 2019

The purpose of this study was to identify the influencing factors on smartphone overdependence by examining the relationships between smartphone overdependence, self-determination, depression, self-esteem, and impulsivity in male and female college students. The self-reported questionnaires were administered to 263 students from two colleges. As results of multiple regression analysis, the factors affecting smartphone overdependence in male students were the perception of smartphone importance (${\beta}=.411$, p<.001), impulsivity (${\beta}=.204$, p=.007), and depression (${\beta}=.200$, p=.040). In female students, influencing factors were the perception of smartphone importance (${\beta}=.630$, p<.001) and impulsivity (${\beta}=.185$, p=.010). Based on the findings, a tailored smartphone overdependence prevention program is needed by controlling impulsivity and changing distorted perceptions of smartphone.