• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.275-280
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• 2020

The purpose of this study is to analyze relationship between community participation and smartphone usage level. The study was conducted for 100 people aged 55 or older. We conduct a task-based questionnaire to evaluate smartphone usage level. The levels of smartphone use were reclassified as 0~3 points C level, 4~7 points B level, and 8 points or more A level based on task-based survey score. For data processing, SAS 9.4 was used. As a result, a total of 97 data were included in the result analysis, and 85 smartphone users(87.6%). There was a significant correlation between smartphone usage level and community participation(r=0.22). As a result of using ANOVA, the smartphone usage level and community participation scores showed a significant difference(p=0.04). This study confirmed that there is a difference in community participation by smartphone usage level. Most elderly people showed high smartphone education demand. It is considered necessary to develop educational programs and educational tools to improve educational satisfaction and smartphone usage.

• 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 Food Culture
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• v.32 no.5
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• pp.437-445
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• 2017

This study was conducted to investigate the nutrition knowledge, dietary attitudes, dietary behaviors, smartphone usage-related dietary habits, and health-related lifestyles of higher grade students in elementary school according to risk level of smartphone overdependence. Subjects were 286 fifth and sixth grade students of elementary school in the Siheung and Ansan areas. Data were collected using self-administered questionnaires and analyzed using SPSS v. 20.0. Based on scores of S-scale (smartphone overdependence scale for adolescents), subjects who used smartphone were classified into an overdependence group (ODG, n=52) and a normal group (NG, n=234). The ODG showed a significantly longer usage time than NG on both weekdays and weekends (p<0.001). There were no significant differences in total scores of nutrition knowledge between the ODG and NG. Average total scores of dietary attitude and dietary behavior in the ODG were significantly lower than in the NG (p<0.001). There were higher risks of ODG for skipping meals (OR=8.3, 95% CI=4.027-17.099), changing eating speed (OR=4.4, 95% CI=2.209-8.822), and changing meal amount due to smartphone usage (OR=2.9 95% CI=1.233-6.623). Therefore, education programs are needed to ensure proper dietary behaviors and habits among smartphone overdependent elementary school students.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.640-647
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• 2022

The purpose of this study was to investigate the factors influencing sleep quality of nursing students, focusing on depression, smartphone usage before sleep, and academic score. Among nursing students in the 3rd and 4th grades of two universities, 196 subjects were randomly selected. Data were collected from April to July 2021 using tool of sleep quality(PSQI-K), depression(Korean BDI-II), and smartphone usage before sleep, and the effect on sleep quality was analyzed through Stepwise Multiple Regression Analysis. As a result of the study, two factors, depression and smartphone usage before sleep, had 39.0% explanatory power for the sleep quality of nursing students, and were statistically significant. That is, the higher the depression level and the more frequent smartphone usage before sleep, the worse the sleep quality level. However, academic score was not a significant variable. In conclusion, in order to improve the sleep quality of nursing students, it is necessary to reduce the pattern of sleep disorders related to depression and to correct the lifestyle by reducing smartphone usage before sleep.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.567-574
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• 2014

This paper is about an analysis of the result of the survey which is how the use of smartphone affects the creative personality, focused on 4th and 6th grade in Elementary school, by smartphone addiction self-diagnosis and creative personality test. As a result of the analysis, 6th graders were influenced by their possession of smartphone and the degree of one's smartphone addiction on their creative personality. However, the usage period of smartphone did not turn out to affect their creative personality. In addition, none of the factors above, related to students' smartphone usage, influenced the creative personality of 4th graders. Particularly, there was a negative correlation between the level of students' smartphone addiction and the creative personality and it was found that whether the students own a smartphone or not played a crucial role in creative personality rather than the usage period of smartphone. Therefore, students should be properly educated how to use smartphone appropriately and to prevent them from smartphone addiction in order to improve creative personality which is one of the core competences in 21st century.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.95-104
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• 2015

In recent years, in accordance with the rapidly increasing number of smartphone users, various social problems have started to occur. Examples of these problems are the overuse of smartphones and bad usage habits of smartphone users that can cause new social problems such as smartphone addiction and other smartphone related diseases. With the aim of preventing these social problems, this paper proposes a new smartphone addiction and disease prevention system. This system was developed by collecting and analyzing smartphone usage patterns. This proposed system analyzes the usage patterns and working hours of smartphone users in real time. If the detected smartphone usage patterns reach a dangerous level, the system will send warning messages to the user. This will enable users to recognize the unhealthy situation in advance by themselves. In addition, this solution could possibly prevent smartphone addiction and other smartphone related illness by preventing overuse and encouraging abstinence from using smartphones to the extent that it becomes harmful to the user.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.157-166
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• 2023

Purpose : The purposes of this study were to determine the relationships of communication skills with smartphone addiction and self-efficacy before clinical practice training among nursing students and to provide basic data for developing and verifying the effectiveness of an intervention program for improving nursing students' communication skills. Methods : This study targeted those who obtained consent to collect data explained the purpose and procedure of the study for the first and second graders of the nursing department at one university located in B city. The data collection period was from April 24 to May 13, 2023. A total of 207 questionnaire responses were included in the analysis. The collected data were analyzed using t-tests and analysis of variance in the SPSS/Win 230 program. The results were reported as real numbers, percentages, mean values, and standard deviations. The correlations between the variables were analyzed using the Pearson correlation coefficient. Results : Smartphone addiction according to the general characteristics of the study subjects showed significant differences in 'residence type' (F=2.91, p=.035) and 'average smartphone usage time' (F=20.15, p=.000). It seemed. self-efficacy was determined by 'age' (F=2.74, p=.045), 'subjective academic level' (F=7.71, p=.001), and 'average smartphone usage time' (F=3.96, p=.009) showed a significant difference. Communication skills showed a significant difference in 'average smartphone usage time' (F=3.83, p=.011). The correlation between the variables of the study subjects showed that self-efficacy was negatively correlated with smartphone addiction (r=-.42, p<.001), and communication ability was positively correlated with self-efficacy. It was found that (r=.55, p<.001). 15) Conclusion : On the basis of the study results, the higher the nursing students' smartphone addiction, the lower their self-efficacy, and the higher their communication ability, the higher their self-efficacy. Therefore, intervention research is necessary to develop interventions for preventing smartphone addiction and increasing communication ability among nursing students.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.2
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• pp.93-103
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• 2019

This study analyzed the impact of smartphone usage on walking speed during walking on two pedestrian walkways in Daejeon Metropolitan City. For the analysis, the video data about the actual use of smartphone was acquired and the walking speed was calculated based on the walking density of the pedestrian Level Of Service(LOS) presented in the Road Capacity Manual. Multiple regression analysis and decision tree using machine learning were used to analyze the impact of smartphone usage on walking speed, and as the explanatory variables, gender, disable smartphone, use of smartphone using auditory function, use of smartphone using visual function, LOS A, LOS B, LOS C were adopted. The result showed that LOS C had the highest impact on walking speed change and the women's group using their visual function was founded to have the slowest walking speed in LOS C. In particular, the author found that walking speed significantly decreased in the case of use of visual function rather than listening to music or the hearing on the phone.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.325-335
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• 2017

This study examined the effects of mothers' smartphone usage habits on young children's aggression and emotional intelligence. For this purpose, a total of 275 questionnaires from mothers in Jeonbuk Province with 3~5 year old young children, who had experiences in using smartphones, were analyzed, and the results are as follows. First, an analysis of the general trend of mother's smartphone usage habits showed that young children's aggression and emotional intelligence according to the general trend of mother's smartphone usage habits had a generally low rate and 'the tolerance and flow' had a high score among its sub-factors. The general trend of young children's aggression also showed a generally low rate, and 'status acquired aggression' had a high score among its sub-factors. The general trend of young children's emotional intelligence showed a moderate level, and a high score was observed in 'mother relation' among its sub-factors. Second, an analysis of the relationship between mother's smartphone usage habits, and young children's aggression and emotional intelligence showed that mother's smartphone usage habits had a positive correlation with the young children's aggression while it did not correlate with the young children's emotional intelligence. On the other hand, a negative correlation was observed between the virtual world orientation among the sub-factors of smartphone usage habits and the self-emotion awareness and expression among the sub-factors of emotional intelligence. Third, an analysis of the effects of mother's smartphone usage habits on children's aggression showed that all of mother's smartphone usage habits and its sub-factors had a negative effect on children's aggression. Fourth, an analysis of the effects of mother's smartphone usage habits on young children's emotional intelligence showed that none of mother's smartphone usage habits or its sub-factors had a significant effect.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.507-516
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• 2022

The purpose of this study was to examine the factors influencing on the smartphone usage time according to the happiness perceived by adolescents. This study underwent the approval procedure for using the raw data of the 13th (2017) Adolescents' Health Behavior Online Survey through the homepage of Korea Centers for Disease Control and Prevention and selected 54,603 persons of 12-18 age groups as subjects of the study. The analysis was performed after generating a complex sample plan file by assigning weights using the IBM SPSS 23.0 program. There were significant differences in general characteristics and physical & psychological characteristics according to the use of the smartphone in the happy group and the unhappy group (p<.05). And there was a statistically significant difference in factors affecting smartphone usage time between the group of adolescents who perceived as happy and the group who perceived themselves as unhappy. It is necessary to improve the quality of life by increasing the level of happiness through the correct use of smartphones among adolescents.