• 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 Fisheries and Marine Sciences Education
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• v.27 no.2
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• pp.576-588
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• 2015

This study analyzed the influences of elementary students' usage of smartphone, computer and TV on academic attitude. Of the subjects residing in the U city to target of 10 elementary schools from the fourth grade to sixth grade, 865 students were sampled. This research made a frequency analysis and reliability analysis of the obtained date using SPSS 21.0 program were used. Research results are as follows. First, in the smartphone, computer and TV usage status of elementary school, smartphone, computer and TV were used the high frequency with which almost every commonly used, was found to be necessary to take advantage of the time to less than one hour a day, mostly alone, it has been found that a lot of online games, videos and SNS. Second, the use of smartphone, computer and TV were showed a significant effect on all sub-variables of open, self-concept, initiative, responsibility, learning enthusiasm, future orientation, creativity, self-assessment.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.283-291
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• 2018

Objectives: To identify the current status of smartphone usage and to describe the needs for smartphone-based cardiac telerehabilitation of cardiac patients. Methods: In 2016, a questionnaire survey was conducted in a supervised ambulatory cardiac rehabilitation (CR) program in a university affiliated hospital with the participation of heart failure or heart transplantation patients who were smartphone users. The questionnaire included questions regarding smartphone usage, demands for smartphone-based disease education, and home health monitoring systems. Results were described and analyzed according to principal diagnosis. Results: Ninety-six patients (66% male; mean age, $5{\pm}11$ years), including 56 heart failure and 40 heart transplantation patients, completed the survey (completion rate, 95%). The median daily smartphone usage time was 120 minutes (interquartile range, 60-300), and the most frequently used smartphone function was text messaging (61.5%). Of the patients, 26% stated that they searched for health-related information using their smartphones more than 1 time per week. The major source of health-related information was Internet browsing (50.0%), and the least sought source was the hospital's website (3.1%). Patients with heart failure expressed significantly higher needs for disease education on treatment plan, home health monitoring of blood pressure, and body weight (${\chi}^2=5.79$, 6.27, 4.50, p < 0.05). Heart transplantation patients expressed a significant need for home health monitoring of body temperature (${\chi}^2=5.25$, p < 0.05). Conclusions: Heart failure and heart transplantation patients show high usage of and interest in mobile health technology. A smartphone-based cardiac telerehabilitation program should be developed based on high demand areas and modified to suit to each principal diagnosis.

• Journal of Convergence Society for SMB
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• v.4 no.4
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• pp.13-18
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• 2014

The usage rate of user due to advances in smartphone development is higher than the usage rate to use a PC. However, smartphone usage popularized research to protect sensitive information, such as smart phone users personal information, financial information is a small state. In this paper, we analyzed the various vulnerabilities in smartphone studies to date have been looking into the corresponding port smart consumer dispute resolution methods and criteria for smartphone security attack methods and analysis. In particular, the threat of such a network, malware, Peep attack of the security threats arising from the smartphone they can avoid or mitigate threats to minimize the smartphone security damage is done to the disclosure of personal information, such as direct damage or financial loss the analysis of that method.

• Journal of Korean Biological Nursing Science
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• v.21 no.3
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• pp.231-238
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• 2019

Purpose: In 2015, South Korea had the highest global smartphone penetration (88%). However, smartphone addiction can seriously disrupt daily life and have a major negative impact on academic achievement. Methods: A structured questionnaire was completed by 250 nursing students for this descriptive study. Results: Students who were older, more satisfied with their major, exercised, and used their smartphone for less than 30 minutes before sleeping had higher learning engagement than those who were younger, less satisfied, did not exercise and used their smartphone for more than three hours. Quality of sleep and smartphone addiction were negatively correlated as was quality of sleep and daytime sleepiness. Interestingly, sleep pattern did not impact learning engagement directly. Conclusion: Smartphone usage influences learning engagement of nursing students rather than their sleeping patterns, which suggests a need to develop self-disciplining strategies for smartphone use to enhance learning engagement.

• Journal of the Korean Society of School Health
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• v.33 no.1
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• pp.48-57
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• 2020

Purpose: The purpose of this study is to identify the relationship between perceived smartphone addiction and physical and mental health among female college students. Methods: Data were collected using a questionnaire to measure perceived smartphone addiction and physical and mental health of 314 female students attending a college located in D city from April 9 to May, 31, 2019. The collected data were analyzed using descriptive statistics, 𝑥² test, t-test and stepwise multiple regression with SPSS 18. Results: The respondents were classified into two groups, the perceived smartphone addiction group (29.3%) and the perceived smartphone non-addiction group (70.7%). Perceived smartphone addiction was significantly different according to daily smartphone usage time (p<.001), smartphone usage fee (p=.005), most satisfying thing about using smartphones (p=.006) and importance of smartphones in daily life (p<.001). The perceived smartphone addiction group had more physical health problems (p=.001) and more mental health problems (p<.001). The factors affecting physical health were perceived smartphone addiction and importance of smartphones in daily life, with 62% of explanatory power (F=10.15, p<.001). As for mental health, the affecting factors were also perceived smartphone addiction and importance of smartphones in daily life, with 87% of explanatory power (F=14.52, p<.001). Conclusion: It is important to raise awareness of smartphone addiction including its negative impact on physical and mental health, reduce smartphone usage time, and build offline social relationships.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.51-60
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• 2021

This study is a descriptive research conducted to identify smartphone addiction and influencing factors of high grades of elementary school students. The subjects were 294 elementary school students in the 4th, 5th, and 6th grades at 31 regional children's centers located in C city. Data were collected from May 13, 2019 to June 10, 2019. For data analysis, frequency analysis, 𝑥²-test, and logistic regression analysis were performed using SPSS Win 23.0 program. The result of the study were 16% in the addiction risk group and 84.0% in the general group. Factors influencing smartphone addiction were smartphone usage time on weekdays(95% CI: 1.263~827.849, p=.036), and main usage time of smartphone(95% CI: 1.028~29.574, p=.046). Therefore, in order to prevent smartphone addiction of high grade of elementary school, it is necessary to develop a smartphone addiction prevention education or nursing intervention program by identifying usage time and main usage time of smartphone.

• 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.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.1
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• pp.34-43
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• 2020

Objective : The purpose of this study was to investigate the difference between smartphone addiction and sensory processing ability depending on the time of smartphone usage by at risk of smartphone addiction. Methods : Participants of this study were 124 toddlers in a The data collection period was from September 2019 to December 2019. Measurements in this study included a questionnaire on general information about the subject, a smartphone addiction scale, and a short sensory profile. Methods for the data analysis included descriptive statistics and an independent t-test using SPSS 22.0. Results : There were significant differences between groups depending on smartphone usage time in terms of total smartphone addiction, salience, impulse-compulsive use, withdrawal, tolerance, and interpersonal conflict among toddlers. There were also significant difference in sensory processing ability between groups according to the total Short Sensory Profile score (and in all sub-domains; p=.000 ~ .042). Conclusion : This study found that there was a difference in smartphone addiction and sensory processing ability depending on the smartphone usage time of toddlers at risk of smartphone. It is meaningful because it raises the need for education on the use of smartphones by toddlers.

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.43-75
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• 2021

Clearly, the smartphone is increasingly playing a greater role in everyday life, thus providing opportunities to evaluate how well the use of the smartphone meets the requirements of undergraduate students in independent learning outside of a classroom setting. This study used the task-technology fit (TTF) model to explore the effectiveness of smartphone usage to interact with learning materials in independent learning outside of classrooms, the need for smartphone support, and the fit of devices to tasks as well as performance. First, the study used interviews, observation, and survey data to identify what are the most important constructs of smartphones that stimulate students to interact with learning materials in independent learning outside of classrooms. Based on the findings from the exploratory study and Task Technology Fit theory, we postulated the Navigation design, Ergonomic design, Content support, and Capacity as the essential dimension of the smartphone construct. Then, we proposed a research model and empirically tested hypotheses with the structural model analysis. The results reveal a significant positive impact of task and technology on TTF for smartphone usage to interact with learning materials in independent learning outside of classrooms; it also confirmed the TTF and performance have a direct effect on actual use.