• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.143-153
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• 2017

This was a descriptive survey to determine the intention of users to use smartphone healthcare applications (SHAs) and to clarify factors that may influence such intention. The data were collected during the month of April in 2015, using a structured self-report questionnaire that was distributed to 300 participants aged 20 to 70 years; 285 complete copies were used for the final analysis. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficients, and hierarchical multiple regression. First, according to the results, the average intention to use SHAs was 3.28 out of 5, which varied according to age, final education, economy level, vacation, current disease, total period of smartphone use, and etc. Second, significant correlations were shown by exercise behavior, dietary management behavior, stress management, satisfaction with smartphone use, and satisfaction with using SHAs. Third, the explanatory power of the predictive model involving all general, health-related, smartphone use-related, and SHA use-related factors was 45.5%; and the economic level, interest, status, and awareness satisfaction of patients using SHA were identified to be the main influential factors. The results indicate that SHA developers need to put efforts into improving consumers' app recognition and to develop plans in provoking consumers' interests to increase the use of SHAs.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.68-80
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• 2022

Since the launch of AI, technology development to implement complete and sophisticated AI functions has continued. In efforts to develop technologies for complete automation, Machine Learning techniques and deep learning techniques are mainly used. These techniques deal with supervised learning, unsupervised learning, and reinforcement learning as internal technical elements, and use the Big-data Analysis method again to set the cornerstone for decision-making. In addition, established decision-making is being improved through subsequent repetition and renewal of decision-making standards. In other words, big data analysis, which enables data classification and recognition/recognition, is important enough to be called a key technical element of AI function. Therefore, big data analysis itself is important and requires sophisticated analysis. In this study, among various tools that can analyze big data, we will use a Python program to find out what variables can affect addiction according to smartphone use in a decision tree environment. We the Python program checks whether data classification by decision tree shows the same performance as other tools, and sees if it can give reliability to decision-making about the addictiveness of smartphone use. Through the results of this study, it can be seen that there is no problem in performing big data analysis using any of the various statistical tools such as Python and R when analyzing big data.

• Korean Journal of Culture and Social Issue
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• v.26 no.4
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• pp.409-433
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• 2020

This study attempted to verify the relationship between job burnout and organizational citizenship behavior among South Korean soldiers in the Navy force by applying the Job Demands-Resource Model and Conservation of Resource Theory, and the moderated mediating effect of social capital through the work engagement and smartphone use. The mediating effect of work engagement and the moderating effect of social capital via smartphone use were examined in the relation between job burnout and organizational citizenship behavior. We combine the mediation effect model and the moderation effect model and tested the moderated mediation effect. To perform this study, the survey was conducted on the navy soldier on duty, and total of 324 data were analyzed. The results of this study were as follows: the complete mediation effect of work engagement in the relation of job burnout and organizational citizenship behavior was verified, social capital via smartphone use moderated the relation between job burnout and work engagement, and the moderated mediation effect of social capital via smartphone use in the relation between job burnout and organizational citizenship behavior through work engagement was identified. Based on the results, implications, limitations, and future research directions of the current study were discussed.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.10 no.3
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• pp.185-197
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• 2016

This study purposed to analyse smartphone addiction characteristics of people with disabilities and suggested to establish related prevention policies for them. The analysis of 20-50 aged 494 disabled people resulted, that the smartphone addiction rate of the disabled people was 12.55%. Smartphone use-, mobile messenger-, SNS- and game time were nearly the same or higher than the potential and high risk group from the survey on internet overdependence 2015. In the question about the awareness of smartphone addiction they answered the smartphone addiction is severe in the society, and they are aware of smartphone addiction counseling center. But they will not get a service form the centers. That suggests, that the government should promote the policy of smartphone addiction for the disabled. It should provide institutional strategy and structural change for prevention of smartphone addiction for the disabled.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.173-181
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• 2020

The objective of the present study was to identify the factors influencing the smartphone addiction among college students and to obtain basic information in terms of enhancing proper use of the smartphone. Based on the previous literature with constructs of depression, aggression, self-control and smartphone addiction, a research model was prepared. A total of 332 students were selected from 5 universities in G Metropolitan City and collected data were analyzed through hierarchical multiple regression. The major results of the study were as follows. First, self-control was the most powerful predictor of smartphone addiction. Second, anger caused smartphone addiction to increase whereas social experience caused smartphone addiction to decrease. Third, depression did not cause smartphone addiction to increase. Finally, implications for preventing and decreasing the smartphone addiction among college students were also provided.

• PNF and Movement
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• v.17 no.1
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• pp.41-46
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• 2019

Purpose: Continuous use of a smartphone increases the angle of forward bending of the user's cervical vertebrae, causing pain in the shoulders and back, including the thorax, lumbar region, and vertebrae. Although there are many studies on changes in the cervical spine due to smartphone usage, the changes in the shoulders, thoracolumbar spine, and pelvic have rarely been compared. The purpose of this study is to investigate the change in the spinal segments, shoulders, and pelvic when using a smartphone with both hands while in the standing position. Methods: This study was conducted on 35 adults in their twenties. The selection criteria for the subjects were limited to those in a similar age group, thus excluding posture differences according to age, and to those who did not have specific diseases or pain in the spinal and musculoskeletal system for 12 months prior to the study. In this study, we used a 3D spinal diagnostic imaging system (Back Mapper, Frickenhausen) to compare the changing conditions in each vertebral segment before and during smartphone usage with both hands while in the standing position. Posture differences according to smartphone usage were compared using the paired t-test for the motion of each spinal segment. Results: This study showed that the thoracic and lumbar angle increased posteriorly during smartphone usage (p<0.05). In addition, the anterior rotation angle of the shoulder bone significantly increased, but no significant difference occurred in the pelvic region. Conclusion: Based on the results of this study, smartphone usage with both hands while in the standing position showed that the spine, as a whole, forms a kyphotic curve. Therefore, we propose to present a postural guideline for correct smartphone usage, considering the change in each vertebral segment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.1
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• pp.117-130
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• 2012

Recently, smartphone has being most popular mobile device in mobile market, not around the world, but in domestic. In Korea, there are about 710 million people are using smartphone in 2010, and it is expected that about 1 billion people will use smartphone in next year. However, with exponential growth of smartphone, several security issues come to the fore. Because, the smartphone store various private information to provide user customized services, smartphone security can be regarded most critical issues than security of other devices. However, leak of awareness for security may cause many security accidents in present. Therefore, in this paper, we analyze security features of smartphone and propose a protection profile based on Common Criteria v3.1. Our work can be distributed for developer and user of smartphone to estimate security of smartphone.

• Journal of Service Research and Studies
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• v.4 no.2
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• pp.49-56
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• 2014

Lately, We have experienced increasing of Smartphone. Therefore we have experienced increasing of Application for Smartphone. This study suggested Tour Management Application using the smartphone. When you travel, you need various information This study of Development for Application provide that guide of travel destination provide means of transportation, time of travel, traveling expensives management. This application will use conveniently This application provide various information of travel and this application will use tool of new mobile business.

• International Journal of Contents
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• v.10 no.2
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• pp.28-36
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• 2014

This study attempted to suggest a strategy for providing rural community tourism information services using smartphones. Study subjects were men and women among 300 who currently use smartphones. Empirical analysis was done on 249 of the 300 subjects. Upon verification of the effect factors of adults' smartphone usage and rural community tourism information services usage, they were both statistically significant based on Ajzen's(1991) Theory of planned behavior. Hence, behavior, subjective norms, perceived behavioral control should be augmented in order to increase smartphone usage behavior to access rural community tourism information services. Especially, behavioral intent and usage behavior was increased proportionately to behavioral control. We suggested that plans to provide applications free of charge and building a social consensus on utilizing rural community tourism information are important in achieving such status.