• Journal of the Korean Society of School Health
• /
• v.29 no.3
• /
• pp.245-255
• /
• 2016

Purpose: This study was aimed to examine the effects of smartphone overuse and individual factors including age, relationship with friends, satisfaction with school life, and time of smartphone usage on perceived cognitive functions, fatigue, and daytime sleepiness among college students. Methods: Three-hundred college students were recruited after confirming the absence of major depressive symptoms. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression. Results: Smartphone overuse commonly explained the variance in perceived cognitive functions, fatigue, and daytime sleepiness, after controlling for individual factors. In addition, satisfaction with school life was significantly related with better effectiveness of cognitive functions while being male, having good relationships with friends and satisfaction with school life were relatively associated with a lower level of fatigue. Conclusion: The findings of this study revealed that the overuse of smartphone can serve as a psycho-cognitive burden leading to ineffective functioning in daily living. Students who are female and have issues regarding school life and friendship may be a high risk group for experiencing psycho-cognitive dysfunction associated with smartphone overuse. Further investigation is needed to develop effective interventions to improve psycho-cognitive health associated with the excessive use of smartphone in young adults.

• Human Ecology Research
• /
• v.56 no.2
• /
• pp.145-156
• /
• 2018

This study investigates the effects of over-parenting behavior and peer-alienation on adolescents' school adjustment and explores the mediating effects of smartphone dependency on the above relations. The subjects were 1,882 first grade students in middle school selected from the 7th year data of the 2010 Korea Children and Youth Panel Survey (2010 KCYPS). Data were analyzed by descriptive statistics, Pearson's correlation, structural equational models, and Sobel test with SPSS 21.0 and Amos 18.0. The findings were as follows. First, there was no significant difference in the school adjustment according to gender. However, boys were higher in the perception of over-parenting behavior and peer-alienation, and girls were higher in smartphone dependency. Second, peer-alienation and smartphone dependency had negative impacts on the school adjustment. But over-parenting behavior had no significant effect on school adjustment. Third, smartphone dependency played a mediator role between over-parenting behavior and peer-alienation as well as the school adjustment. Fourth, there were no significant differences between boys and girls in the relations among over-parenting behavior, peer-alienation, smartphone dependency and school adjustment. But there was a slight difference in influence. The findings of this study suggest that interventions on how to use smartphone correctly are important for improving adolescents' school adjustment. In addition, gender differences in school adjustment should be considered for a better understanding.

• PNF and Movement
• /
• v.16 no.1
• /
• pp.67-73
• /
• 2018

Purpose: Smartphones, which are widely used worldwide to detect acceleration and position, have been used in the area of rehabilitation medicine in recent clinical research studies and tests. The aim of the present study was to determine the feasibility of using a smartphone application based on center of movement (COM) displacement to measure gait parameters in stroke patients in the clinical field of rehabilitation medicine. Methods: The study consisted of 30 stroke patients. The COM was measured using a smartphone application, Gait Analysis Pro, during a 6-m walk. Each patient performed three 6-m walking trials, and the smartphone application measured gait duration, gait speed, step length, cadence, and vertical and lateral displacement of the COM. The Kolmogorov-Smirnov test was conducted to determine the normality in gait parameters, and a repeated one-way analysis of variance (ANOVA) was performed to determine the consistency among the three trials. A p value of 0.05 was considered statistically significant in all the tests. Results: In all the measured parameters, the smartphone application showed a normal distribution, as shown by the results of the Kolmogorov-Smirnov test. There were no significant differences among the three repetitive walking trials. Conclusion: These results suggest that the smartphone application can be used for evaluating gait in stroke patients, as well as in healthy adults. However, prior to using the smartphone application in the clinical field, further research involving three-dimensional gait analysis is needed to enhance the confidence level of the findings.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.29 no.12
• /
• pp.61-67
• /
• 2015

Certainly, we are living in a true mobile society. At the end of 2014, approximately 40million 560thousand people are subscribed to smartphone services in Korea, using more than 2000MB of mobile data per a person. The use of smartphone is expected to increase. Moreover, smartphone moves toward becoming a requisite for modern people. Under the circumstances, high-speed communication services such as LTE provide high quality services anywhere and anytime and, furthermore, the development of high performances of the application makes the life patterns of modern people link directly to smartphone. Almost every day, new creative services are being introduced and the demands of on-line streaming services such as high-performance game and YouTube are increasing day after day. However, although smartphones are getting smarter and high quality services are rapidly growing, consumers still complain about the insufficient usage time caused by the capacity of batteries. In order to solve this problem, this thesis suggests EDLC(Electric Double-Layer Capacitor) uses as a supplemental power supply to keep the continuity of work while switching batteries. Through this approach, the running time of smartphone becomes longer as the number of batteries without power off and the purpose of this study is to maximize the convenience of using smartphone by eliminating the initialization of memories and the loss of time of rebooting while batteries are switched.

• Journal of Digital Convergence
• /
• v.13 no.1
• /
• pp.37-47
• /
• 2015

What follows in this research is the examination of the consumer motives that lead to the usage of smartphones, how the consumers can be categorized by such motives, and how each category of consumers behave differently when using their smartphones. The finding of this research is as follows. First, the result of factor analysis showed that there are four underlying dimensions in consumers. Second, The result showed that consumer can be categorized into three different types, "Other conscious consumers", "Consumers with no specific motives", and "Function pursuing consumers". Third, multi-regression analyses were performed to identify variables that impacted consumers' satisfaction and technostress in the use of smartphone consumers.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.11 no.6
• /
• pp.60-69
• /
• 2012

Public Transport Information Service which use smartphone Apps has received attention as the way of solution that reduced transport problem. Smartphone can offer real-time information because of a LBS(Location Based Service) system. This study try to find out which factor affect mode choice ratio of public transport, especially smartphone Apps. The result shows that rising oil price, traffic congestion, public information service with smartphone apps, BIS(Bus Information System) factors get 0.39, 0.27, 0.18, 0.16 scores with paired comparison. Younger and student respondents prefer smart phone public information service. Decision Tree shows that the most important decision factor is smartphone information service factor.

• Journal of Digital Convergence
• /
• v.17 no.9
• /
• pp.311-320
• /
• 2019

This study is a descriptive research designed to determine the effects of smartphone addiction on sleeping time and sleep deprivation among college students. For this purpose, the study made a questionnaire survey of 280 health science college students attending at C college located U Metropolitan city. Data collected from the survey were analyzed using SPSS 22.0 program. The findings of this study can be summarized as follows. there were correlations between smartphone addiction and students' sleep deprivation but weren't correlations between their smartphone addiction and sleeping time. furthermore college students' sleep deprivation was influenced by their smartphone addiction. Therefore, in order to induce sufficient sleep for physical and mental health, it is needed to reduce the smartphone addiction rate of college students. To do that, it is necessary to develop and provide interventive programs to eradicate unnecessary smartphone use.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.1
• /
• pp.185-191
• /
• 2019

The use of smartphone improves convenience and efficiency in modern people's lives but threatens the mental health of individuals by manifesting an addiction phenomenon that is difficult for everyday life without a smartphone. In particular, it is suggested that the effects of the smartphone addiction of firefighters who have a high level of job stress due to work environment exposed to disaster and fire have a very negative effect on their personal well-being and job performance. Therefore, the analysis of the relationship between firefighters' smartphone addiction and stress will be helpful in examining the problems of stress management. This study analyzed the relationship and influence between smartphone addiction and stress of firefighters. Total study subjects were 230 and SPSS 20.0 was used. Statistical methods are group analysis (t-test and ANOVA) and multiple regression analysis. The results of this study show that firefighters' household type and monthly income have a significant effect on stress. Of the sub-factors of smartphone addiction, withdrawal experience has a statistically significant effect on stress. The results of the study will provide empirical data on the smartphone addiction of fire service employees.

• Journal of The Korean Society of Integrative Medicine
• /
• v.9 no.2
• /
• pp.183-192
• /
• 2021

Purpose : To investigate the degree of smartphone addiction among health-related college students, and to compare and analyze the effect of the degree of addiction on attention control and interpersonal support. Methods : 184 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. The smartphone self-diagnosis scale was used to measure the degree of smartphone addiction, and the Attentional Control Questionnaire (ACQ) was used as a tool to measure the degree of attention control. In addition, the Interpersonal Support Evaluation List (ISEL) was used to measure the degree of interpersonal support. Results : In comparison of the degree of smartphone addiction according to the general characteristics of the subjects, there was no significant difference according to religion, major, and grade, but there was a significant difference in gender and daily use time of smartphones (p <.05). There was a significant difference in the degree of attention control according to the level of smartphone addiction (high risk, potential risk, general user group) (p <.05), but there was no significant difference in the degree of interpersonal support. Conclusion : The degree of smartphone addiction was relatively higher for women than for men, and users who used it for a long time per day were more addicted. It also showed that attention control was further reduced in highly addictive users.

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.5
• /
• pp.773-782
• /
• 2022

Estimation of cable tension through proper measurements is one of the essential tasks in evaluating the safety of cable structures. In this paper, a study on cable tension estimation using the built-in accelerometer and camera in a smartphone was conducted. For the experimental study, visual displacement measurement using a smartphone camera and acceleration measurement using a built-in accelerometer were performed in the cable-stayed bridge model. The estimated natural frequencies and transformed tensions from these measurements were compared with the theoretical values and results from the normal visual displacement method. Through comparison, it can be seen that the error between the method using the smartphone and the normal visual displacement is sufficiently small to be acceptable. It has also been shown that those errors are much smaller than the difference between the values calculated by the theoretical model. These results show that the deviation according to the type of measurement method is not large and it is rather important to use an appropriate mathematical model. In conclusion, in the case of cable tension estimation, it can be said that the visual displacement measurement and acceleration using a smartphone can be a sufficiently applicable method, just like the normal visual displacement method. It is also noteworthy that the smartphone accelerometer has a larger magnitude error and has more limitations such as high-frequency sampling instability compared to the visual displacement method, but shows almost the same performance as the visual displacement method in this cable tension estimation.