• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.421-432
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• 2020

This study was designed to determine the Internet game and smartphone usage status of senior elementary school students. Data were collected from 6 October 2018 to 30 September 2019, and 1618 subjects were analyzed using SPSS 18.0. As a result of the study, the I-GUESS rating was 6.1% in the high-risk group, and, the S-scale ratios were 10.1% for the potential-risk group and 0.8% for the high-risk group. Physical problems related to Internet games and using smartphones were experienced by 36.0% of the students, with eye fatigue being the highest at 20.4%. Emotional problems were found in 18.5% of the students, with anger being the highest at 6.8%. Social problems were experienced by 21.8% of the students, conflicts with parents being the highest at 10.3%. As a result of surveying the main content based on S-scale and I-GUESS, it was found that the higher the S-scale ratio and the I-GUESS rating, the more broadcast content was used. The correlation between I-GUESS rating and S-scale ratio showed that the higher the I-GUESS rating, the higher the S-scale ratio, and the higher the S-scale ratio, the higher the I-GUESS rating. Future research is necessary to develop an intervention program for elementary school students from a preventive perspective.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.647-657
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• 2015

The purpose of this study is to investigate how young children's excessive immersion in smartphone games affects their prosocial and problematic behavior. To achieve the purpose, a qustionnaire survey was conducted with 147 children aged 3 to 5 going to two kindergartens and two child-care centers which were judged to have similar social and economic conditions, their mothers, and 16 teachers in charge of them. For data processing, SPSS 18.0 program was used to conduct frequency analysis, correlation analysis, and simple regression analysis. The study results were presented as follows. First, the more seriously the young children had excessive immersion in smartphone games, the more negatively their prosocial behavior was influenced. Secondly, the more severely the young children had excessive immersion in smartphone games, the more problematic behavior the young children had. This study is meaningful in the point that it analyzed the impact of their addiction in smartphone games on their prosocial and problematic behavior, and thereby helped to improve a plan of effectively using smartphones as educational media.

• 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 The Korean Society of Integrative Medicine
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• v.8 no.3
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• pp.11-20
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• 2020

Purpose : The purpose of this study was to determine the correlation between smartphone use, body composition, posture and muscle properties of elementary school students. Methods : A total of 22 healthy elementary school students in Daejeon, South Korea, participated in this study with informed consent. Smartphone use was evaluated with Smartphone addiction self-report scale (S-scale) for youth. Body composition (BMI, percent body fat, body fat mass, and skeletal muscle mass) was measured using Inbody. To assess posture, forward head posture and round shoulder posture were measured using Dartfish motion analysis. Muscle properties (muscle tone, stiffness, and elasticity) were measured on the upper trapezius, splenius capitis and sternocleidomastoid muscles using Myoton. To investigate the correlation between the main variables, Pearson correlation analysis was performed. Results : Disturbance of adaptive function, which is one of sub-component of S-scale, had a weak positive correlations with BMI (r=.538, p<.01), and body fat mass (r=.453, p<.05). However, scores of S-scale showed no correlation with posture and muscle properties. The correlation between posture and muscle properties was analyzed, and round shoulder posture revealed a weak positive correlation with respect to stiffness (r=.418, p<.05) and elasticity (r=.502, p<.05) of the sternocleidomastoid muscle. Conclusion : Scores of S-scale demonstrated a weak correlation with body composition (BMI) among elementary school students, whereas S-scale scores were not correlated with the posture and muscle properties. Further research is needed to identify and focus on potential high-risk user groups of elementary students who are more dependent upon smartphones.

• Journal of Nutrition and Health
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• v.51 no.4
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• pp.295-306
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• 2018

Purpose: Koreans' internet and smartphone usage hours are steadily increasing and the dependence of young people on smartphones is causing social problems. Therefore, this study was conducted to examine health and dietary habits, as well as hair mineral contents according to the level of dependence of smartphone use among adolescents to clarify the interrelation of smartphone dependence, lifestyle, dietary behavior, and mineral nutrition status. Methods: A total of 80 smartphone-addicted adolescents participated in this study and were divided into three groups (general, potential and danger group) according to smartphone dependence. The subjects' lifestyles and dietary behaviors were then surveyed, and hair mineral contents were analyzed. Results: Higher smartphone dependence was associated with lower average weekly sleeping time and later first smoking age. In the danger group, the rate of eating fast and the rate of snacking twice a day was also relatively high. Parents (45.0%) and mobile (30.0%) were the factors having the greatest influence on an individual's dietary behavior. In the hair mineral analysis, all subjects had lower selenium concentrations and higher lead concentrations than normal. In addition, the levels of aluminum in the danger group were higher than in the normal range and the highest among the three groups. Conclusions: It is necessary to guide adolescents to use smartphones correctly and manage dietary habits. In addition, careful attention is needed the mineral nutritional status of smartphone-addicted adolescents.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.515-524
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• 2019

The purpose of this study was to investigate the influences of adolescents on self-rated health and happiness, physical activity, and mental health according to time of smartphone use. The researcher used raw data from the Korea youth risk-behavior web-based survey(2017). A total of 64,991 adolescents were enrolled and 54,603 were analyzed in logistic regression analysis. The researcher set gender, self-rated health and happiness, physical activity, and mental health as independent variables and performed logistic regression analysis with smartphone overuse time as dependent variables. As a result, the female had a smartphone overuse of 1.49 to 1.67 times higher than male. Subjectively healthy people were 1.2 to 1.35 times more likely to use smartphones than those who did not(p<.001). People with higher physical activity were higher by 1.17 to 1.18 times than people without physical activity(p<.001). Subjective happiness did not predict smartphone usage(p>.05). People with subjective stress were higher 1.13 to 1.22 times than people without stress, and person with sadness and despair and suicide plan, 1.37 to 1.54 times, 1.17 to 1.24 times than those who did not(p<.001). Depression tended to become more serious as smartphone use increased. These investigation suggest that the self-rated health, physical activity, and mental health excluding self-rated happiness are related to overuse of smartphone.

• Knowledge Management Research
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• v.22 no.3
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• pp.173-199
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• 2021

As the use of smart devices such as smartphones and tablets has become common, the time to start using smart devices is getting earlier, such as using smart devices from the age of one. Also, the use of smart devices by infants and toddlers is continuously increasing. Smart devices have become convenient means of acquiring pleasure and knowledge, but the side effects of addiction and overdependence are becoming issues as much as the benefits of smart devices. This study pays attention to young children's overdependence on smart devices, and focuses on the aspects of parents' perception, control, and observational behavior about smart devices, which can have a profound effect on young children. This study examines how young children's overdependence on smart devices can consequently affect children's characteristics in terms of activity, emotional sensitivity, and social aspects. In particular, this study attempts to explore that the factors influencing children's overdependence on smart devices and the results can vary depending on the moderating variables (parents' control method for children's smart device use, supervision method, and type of contents mainly used). Based on the findings, this study can provide guidelines and implications for parents on how to effectively use smart devices for their young children.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.177-186
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• 2019

The purpose of this study was to investigate the influences of the smartphone overuse on health and academic impairment in adolescents. This study used data from Korea youth risk behavior web-based survey of 2017. This survey was conducted on 64,991 adolescents(middle and high school students), and 62,276 (95.8%) responded. The researchers used frequency analysis, independent t test, chi-square test and Pearson correlation analysis using SPSS 22. As a result, the usage rate of adolescents's smartphone was 54,603 out of 62,276, which was 87.7%. The purpose of smartphone usage was messenger(1st rank, 27.3%), SNS(2nd rank, 18.7%) and game(3rd rank, 13.3%). The average daily use time of the smartphone was 206.68±194.73 minutes. Girl students showed significantly more use time of smartphones than boy students(p<.001). Students with more than 206 minutes of smartphone use had worse health and academic performance than students with less than 206 minutes(p<.001). Time of smart phone usage and academic ability showed a weak correlation(p<.001, r=.245). The present findings showed that the higher the smartphone usage, the lower the health level and academic ability, and the author discussed these results.