• 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 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.

• 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.

• 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.

• 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 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 the Korea Contents Association
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• v.20 no.2
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• pp.478-486
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• 2020

The purpose of this study was to find out the actual status of smartphone students' dependence on college students, and to identify the correlation between depression, self-efficacy and smartphone overdependence, and the role of self-efficacy in the relationship between depression and smartphone overdependencee. The main results of the survey and analysis of 1,177 four-year college students located in Gyeonggi area are as follows. First, the percentage of college students' smartphone overdependence was very high at 34.1%. Second, there was a significant difference in prevalence of depression between the smartphone overdependence group(18.7%) and the general user group(11%). Third, self-efficacy showed a negative correlation with smartphone overdependence. The smartphone overdependence group showed significantly lower score in self-efficacy and self-regulation efficacy, confidence, and task difficulty preference than the general user group. Fourth, self-efficacy worked as a mediating variable in the relationship between depression and smartphone overdependence. In other words, the effect of depression on smartphone overdependence tended to decrease as self-efficacy rose in the relationship. Finally, we discussed the development of programs to support career and psychological counseling of university students.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.561-569
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• 2018

The aim of this study was to examine the association between daily stress and smartphone overdependence among multicultural adolescents, focusing on the moderating roles of gender and age. This study performed a series of multiple linear regressions with a sample of 794 multicultural adolescents living with a foreign-born parent or parents from the 13th Korea Youth Risk Behavior Web-Based Survey. The main regression analysis showed that daily stress was associated with higher levels of smartphone overdependence among multicultural adolescents. In addition, interaction analyses showed that the association between daily stress and smartphone overdependence was more pronounced for male adolescents compared to female adolescents, and for middle school students compared to high school students. This study concluded with some suggestions to address smartphone overdependence among multicultural adolescents.

• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.82-91
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• 2023

Purpose: This study aims to identify gender-based differences in factors related to smartphone overdependence among middle school students. Methods: The subjects of the study were middle school students who participated in the 16th Korea Youth Risk Behavior Survey (2020). Frequency analysis, the Rao-Scott χ² test, and multiple logistic regression were performed using SPSS 27.0. Results: Identified risk factors were grade level, self-reported health, self-reported happiness, loneliness, smoking, drinking, poor sleep quality, physical activity, and generalized anxiety disorder, which were commonly found in all participants. Additionally, stress was found related only in boys, while the residential area and depression showed associations only in girls. In particular, the more severe was the level of generalized anxiety disorder, the higher was the risk ratio of the high-risk group, compared to the potential-risk group. Conclusion: Based on the findings of the study, a customized strategy that considers gender differences should be developed in order to prevent smartphone overdependence in middle school students.

• 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.