• 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.

• The Korean journal of sports medicine
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• v.36 no.4
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• pp.189-196
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• 2018

Purpose: The purpose of this study was to compare the difference of body mass index (BMI) to smart phone proficiency in men and women over the age of 60. Methods: Patients were divided into three groups with high (n=33), average (n=34), and low (n=33) smart phone proficiency. Fitness characteristics related to smart phone usage were evaluated by measuring cardiorespiratory endurance, grip strength, eye-hand coordination. As well, smart phone proficiency was evaluated by a self-reported questionnaire and a smart phone usability task that was composed of two categories: usage of the smartphone device itself and usage of phone applications. The differences in BMI of the subjects was analyzed by analysis of covariance adjusting for independent variables including age, smartphone usage period, eye-hand coordination, education and income. Results: There was a significant difference in BMI among the three groups after adjustment of age, eye-hand coordination, smartphone usage period, education and income. The results showed that the self-reported questionnaire showed a significant difference in BMI between high proficiency and low proficiency groups (high $24.88{\pm}2.46$, low $23.37{\pm}2.56$; p=0.037). Smart phone usability test results also showed a significant difference in BMI among the three groups (high $25.18{\pm}2.58$, low $23.15{\pm}2.6$; p=0.000 and high $25.18{\pm}2.58$, middle $23.57.7{\pm}1.69$; p=0.010). Conclusion: Our results suggest that high smart phone proficiency shows increased BMI in the elderly. This study suggests that people over the age of 60 who have high smartphone proficiency should be cautious of an increased BMI score.

• Journal of the Korean Society of School Health
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• v.26 no.1
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• pp.45-53
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• 2013

Purpose: The purpose of this study is to identify the relationship between smartphone usage time and university students' physical and mental health. Methods: A survey of 320 university students in Ulsan was conducted from Nov. 26 to 28, 2012, using a self-report questionnaire. The structured questionnaire consisted of questions regarding socio-demographic characteristics, the amount of time spent using smartphones, physical health, and mental health. The collected data were analyzed by the t-test, ANOVA, and the pearson correlation coefficient, using the SPSS 18.0 Program. Results: The mean of the time spent using smartphones was $154.94{\pm}93.97$ minutes. Female university students tend to spend significantly longer time using smartphones than male university students (p<.01). Smartphone usage time had a significant positive correlation with the students' score of smartphone addiction (r=.26, p<.001). Conclusion: The findings of this study can be utilized as a basic material to prevent physical and mental health problems caused by smartphone usage.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.179-184
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• 2019

As the tendency of children's overdependence on smart phones increased, it was obligatory to carry out preventive education more than once a year in kindergarten and day care center, but there is no specific guidance on contents and method of preventive education. This is due to the lack of prior studies on the actual use of smartphones and the influence variables of infants and young children. The purpose of this study was to investigate the effects of use time, frequency of use, and sociological background variables on the actual situation of smartphone usage and overdependency on smartphone among 3-5 year old children nationwide. For the analysis, the frequency of the use of smartphone for 3-5 year old children was analyzed by frequency analysis, and the influence variables were correlated and multiple regression analysis. Research shows that smartphone overdependence of 3-5 year old children have an influence on the use time and frequency of use. The results should include content that restricts the use time and frequency of use of smartphones and prevention education programs for 3-5 year olds and young children. Suggesting a need for a transition to the educational method used.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.599-604
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• 2019

This study examined how the characteristics of smartphone affect the functional performance of smartphones. In particular, this study focused on an understanding of the correlation between smartphone functional factors and usage habits. Functionality is defined as 11 kinds of functional elements. The characteristics of the smartphones were defined as the hardware characteristics and the user habits characteristics. Eighty subjects were organized to collect actual data by the smartphone function. The actual time required to perform each function was measured and observed five times for each functional element. Regression analysis was performed using Minitab ver.14 by classifying the measured values of the functional elements as dependent variables, the hardware characteristics collected through the questionnaire, and the user's usage habits as 12 independent variables. Overall, it is difficult to conclude that demographic and hardware characteristics of smartphone users have a significant effect on the performance. On the other hand, the variables related to smartphone usage habits have had a great impact on the performance of smartphone tasks, and as a result, the task execution time has increased. In simple input variables or viewing variables, the effects on usability was relatively small, but in all active variables, the execution time increased 10% - 30% in all tasks except for phone calls, seeking phone numbers, and dictionary search. Thus far, if the smartphone user interface has been provided uniformly in a large and simple manner, users with various usage habits can be utilized even if the input method and task processing method are more complicated and various interface types are provided.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.237-244
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• 2019

This study aimed to investigate the effects of motive of use, stress and interpersonal satisfaction on smartphone overdependence in dental hygiene undergraduates. A questionnaire survey was conducted on 216 dental hygiene students in colleges in Dajeon and Chungnam regions. The results showed that motive of use(3-4hours/>4hours)(${\beta}=-0.178$), weekday usage (<3hours/3-4hours)(${\beta}=0.163$), and weekday usage (${\beta}=0.196$) had a high impact on smartphone overdependence in dental hygiene students. Weekday usage dummy 1 was the factor with the greatest impact, with an explanatory power of 25.6%. Additional studies on various factors that affect smartphone overdependence as well as education programs for preventing smartphone overdependence in dental hygiene students are needed.

• Physical Therapy Korea
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• v.20 no.1
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• pp.10-17
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• 2013

The purpose of this study was to assess the influence of the duration of smartphone usage on cervical and lumbar spine flexion angles and reposition error in the cervical spine. The study included 18 healthy smartphone users (7 males and 11 females). We measured the kinematics of the upper and lower cervical and lumbar spine flexion angles and the reposition error of the upper and lower cervical spine after 3 s and 300 s smartphone use in sitting. A paired t-test was used to compare the effects of the duration of smartphone usage on the kinematics of cervical and lumbar spine flexion angles and reposition error. The flexion angles of the lower cervical and lumbar spine and the reposition error in the upper and lower cervical spine were significantly increased after 300 s smartphone of use (p<.05). However, the flexion angle of the upper cervical spine was not significantly different between the 3 s and 300 s smartphone of use (p>.05). These findings suggest that prolonged use of smartphones can induce changes in cervical and lumbar spine posture and proprioception in the cervical spine.

• 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.20 no.5
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• pp.222-230
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• 2019

The purpose of this study was to investigate the identified groups depend on the relationship of smartphone overdependence and adolescents' perception of smartphone overdependence itself. The study also explored gender positions in classified groups and the relationship between irrational perception of smartphone and positive emotion while smartphone usage. The participants to the study were 2,033 adolescents, aged between 10 and 19 from a smartphone overdependence survey of the National Information Society Agency. As a result of the qui-square analysis and MANOVA, four groups were classified depend on perception of smartphone overdependence and related smartphone overdependence behaviors. Second, gender did not show any differences in groups. Third, adolescents with lower perception in smartphone overdependence showed lower perception of smartphone usage compared to other adolescents in three groups. Fourth, adolescents with constructive perception in smartphone overdependence reported positive emotions. The results of this study suggest that it is necessary to understand adolescents' smartphone overdependence and look together with the irrational perception of smartphone.

• Information Systems Review
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• v.16 no.1
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• pp.73-88
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• 2014

According to the widespread use of smartphone, various and abundant mobile applications have been used and lots of new companies have developed mobile applications. To revitalize mobile application market, a lot of research and experiments have been performed in application development and delivery industries. The purpose of this research is to figure out the usage pattern of smartphone application and purchasing criteria of mobile application. We categorized smartphone application users with respect to application selection criteria and examined the characteristics of the categorized users. As a result, the factors of purchasing criteria of the users with respect to smartphone application selection criteria and application type were categorized into 3 groups: aggressive usage group, middle usage group, and passive usage group. The result of this study indicates that the relationship between purchasing criteria and usage pattern in mobile application market was actualized by measuring the purchasing factors of user. Therefore this fact suggests that it is very important to measure the accurate purchasing factors of its user for setting up the marketing strategy of mobile application market.