• Informatization Policy
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• v.25 no.1
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• pp.82-98
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• 2018

Internet overdependence has become a public health concern in Korea. It is well known that family and community level efforts could alleviate possible harms from Internet use. However, little research exists regarding smartphone overdependence. This study examines factors affecting smartphone overdependence and, specifically, help-seeking for smartphone overdependence among Korean adolescents. The study is based on parental mediation theory and uses a help-seeking framework. The results indicate that preventative education provided by school and community increases the levels of awareness of both the possible harms from smartphone use and the option of accessing the mental health service, while it was not effective in preventing smartphone overdependence. Parental mediation was a protective factor for smartphone overdependence but was negatively associated with the intention to use the mental health service. In sum, behavioral problems related to smartphone use require multidimensional preventative efforts from both the family and the community. It is suggested that effective preventive education methods are developed for parents and adolescents.

• Korean Journal of Community Nutrition
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• v.22 no.1
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• pp.40-52
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• 2017

Objectives: This study was conducted to examine the length of exposure to smartphone and its association with dietary behavior toward snacks, lifestyle, and nutrition knowledge in elementary school students. Methods: Subjects were 372 5th and 6th grade schoolchildren in Cheongju, Korea, and data was collected by a self-administered questionnaire. They were divided into two groups by the time spent using smartphone: moderate (< 2 hours/day) and overexposure (${\geq}2$ hours/day). Data was analyzed using frequency analysis, ${\chi}^2$-test, and independent t-test as well as analysis of covariance when necessary. Results: Approximately half of subjects (41.4%) reported spending ${\geq}2$ hours/day using smartphone. That habit was more frequent among students in the 6th grade, those who received more monthly allowance, and who has a working mother. 63.4% of the subjects reported that they consumed snacks while watching television, using a computer and/or a smartphone and 48.1% said that they consumed snacks while they use a smartphone. Both situations were most prevalent among those with overexposure to smartphone (${\geq}2$ hours/day). We also observed that a higher percentage of subjects from the overexposure group spent more money on snack foods with the preference for ice cream, fast food, and carbonated drinks. Further, those in the overexposure group consumed more ice cream, cookies, and carbonated drinks. In addition, they had less desirable dietary behavior and health-related lifestyle (sleep duration and frequency of regular exercise) compared to those with moderate smartphone usage (< 2 hours/day). However, there was no statistical difference in nutrition knowledge among children with different degrees of smartphone usage. Conclusions: Our results showed that longer smartphone use was associated with less desirable snack preference/consumption and other dietary behavior in elementary school students. Thus interest and positive attitudes towards healthy snacks and diet should be reinforced in nutrition education programs, especially for those who are prone to use smartphones.

• The Korean Journal of Community Living Science
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• v.27 no.3
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• pp.371-385
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• 2016

This study was carried out to provide basic data for the promotion of the educational and social relations of adult learners and the effective way to use the smartphone. To accomplish this, we studied the influence of the degree of smartphone usage on the educational and social relations of college students in the area of Kyung-In and the mediator effect of smartphone addiction. According to this study, the research results were as follows: Firstly, the degree of smartphone usage did not directly affect family relationships, but highly affected smartphone addiction; smartphone addiction had both a negative effect on family relationships and a negative mediator effect between the degree of smartphone usage and family relationships. Secondly, smartphone addiction negatively affected the relationships with the opposite sex, whereas the degree of smartphone usage did not; however, there was a negative mediator effect between the time of using the smartphone and relations between the sexes. Thirdly, smartphone addiction negatively affected relationship with friends, whereas the degree of smartphone usage did not; there was no mediator effect between the time of using the smartphone and relationship with friends. Fourthly, smartphone addiction negatively affected the relationship with professors, whereas the degree of smartphone usage did not; there was no mediator effect between the time of using the smartphone and relationship with professors. The implications of these results are discussed.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.197-209
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• 2014

This study analyzed information privacy concerns and personal innovation influences effects of perceived usefulness, ease-of-use and satisfaction for a smartphone-based shopping mall, using technology acceptance model. For empirical analysis, the structural equation modeling analysis method was used. The results are as follows. First, information privacy concern is the usefulness of smartphone-based shopping mall has significantly negative, but did not affect the ease of use. Second, personal innovation is the usefulness and ease of use smartphone-based shopping mall have significant positive effect. Third, ease of use smartphone-based shopping mall is usefulness and satisfaction have significant positive influence. Finally, the usefulness of use of the shopping mall based smartphone significant satisfaction in positively influencing.

• Journal of the Korea Society of Computer and Information
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• v.25 no.2
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• pp.213-219
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• 2020

In this paper, we propose a classification analysis method for diagnosing and predicting problematic smartphone use in order to provide policy data on problematic smartphone use, which is getting worse year after year. Attempts have been made to identify key variables that affect the study. For this purpose, the classification rates of Decision Tree, Random Forest, and Support Vector Machine among machine learning analysis methods, which are artificial intelligence methods, were compared. The data were from 25,465 people who responded to the '2018 Problematic Smartphone Use Survey' provided by the Korea Information Society Agency and analyzed using the R statistical package (ver. 3.6.2). As a result, the three classification techniques showed similar classification rates, and there was no problem of overfitting the model. The classification rate of the Support Vector Machine was the highest among the three classification methods, followed by Decision Tree and Random Forest. The top three variables affecting the classification rate among smartphone use types were Life Service type, Information Seeking type, and Leisure Activity Seeking type.

• The Korean Journal of Pain
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• v.34 no.1
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• pp.72-81
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• 2021

Background: In the literature, there have been debates as to whether smartphone use has negative effects on physical and mental health. The present study investigated the extent to which smartphone addiction impacts on musculoskeletal pain prevalence among university students. Methods: The questionnaire consisted of three sections: demographic information, the Smartphone Addiction Scale (SAS), and the modified Nordic Musculoskeletal Questionnaire. Results: A total of 249 participants were included in this cross-sectional study. The body parts that were reported with highest prevalence of musculoskeletal pain were the upper back (70.3%), neck (65.9%), and wrists/hands (68.7%). The SAS scores were correlated with duration of smartphone use on a typical day (P = 0.001), duration of owning a smartphone (P = 0.027), and musculoskeletal pain prevalence in the neck (P = 0.001), wrists/hands (P = 0.001), shoulders (P = 0.025), and upper back (P = 0.023). The SAS score was significantly associated with prevalence of musculoskeletal pain in the neck (odd ratio [OR], 1.08; 95% confidence interval [CI], 0.98-1.10; P = 0.002), wrists/hands (OR, 1.07; 95% CI, 0.97-1.09; P = 0.001), and upper back (OR, 1.10; 95% CI, 0.98-1.11; P = 0.033). Conclusions: The findings indicated that the upper back, neck, and wrists/hands have a higher prevalence of musculoskeletal pain among smartphone users, particularly those with a smartphone addiction. Smartphone addiction scores were correlated with duration of smartphone use on a typical day, duration of owning smartphone, and musculoskeletal pain prevalence in the neck, wrists/hands, shoulders, and upper back.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.2
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• pp.135-143
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• 2022

Purpose : This study was to compare and analyze major factors related to smartphone addiction according to the gender of health-related college students. Methods : 720 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. Smartphone addiction was measured using the Smartphone Addiction Scale Short Version (SAS-SV), sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), anxiety symptoms were measured using the self-assessment anxiety scale (SAS), and depression symptoms were measured using the self-assessment depression scale (SDS). In addition, the age of each individual and the main function of smartphone use were also investigated. Results : The prevalence of smartphone addiction was higher among female students than male students (p<.05), while male students mainly played games and female students mainly used multimedia (video/music) viewing and social networking services (p<.05). In addition, male students showed a high association with smartphone addiction in the group where games were the main function of smartphone use, the group with low sleep quality, and the group with anxiety symptoms (p<.05), but for female students, multimedia (video/music) Or, the group in which social networking service is the main function of smartphone use, the group with low sleep quality, and the group with symptoms of anxiety and depression showed a high correlation with smartphone addiction (p<.05). Conclusion : It is expected that the results of this study will be used as basic data for providing customized solutions considering the characteristics of smartphone addicts.

• Journal of Radiation Protection and Research
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• v.42 no.4
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• pp.205-211
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• 2017

Background: Radiation is used in a variety of areas, but it also poses potential risks. Although radiation is often used with great effectiveness in many applications, people perceive potential risks associated with radiation and feel anxious about the possibility of radiation exposure. Various methods of measuring radiation doses have been developed, but there is no way for the general public to measure their doses with ease. Currently, many people use smartphones, which provide information about the location of an individual phone through network connections. If a smartphone application could be developed for measuring radiation dosage, it would be a very effective way to measure individuals' radiation doses. Thus, we conducted a survey study to assess the social acceptance of such a technology by the general public and their intent to use that technology to measure radiation doses, as well as to investigate whether such an intention is correlated with anxiety and attitudes toward the use of radiation. Materials and Methods: A nationwide online survey was conducted among 355 Koreans who were 20 years old or older. Results and Discussion: Significant differences were found between the genders in attitudes, perceptions of radiation risk, and fears of exposure to radiation. However, a significant difference according to age was observed only in the intent to use a smartphone dose measurement application. Attitudes towards the use of radiation exerted a negative effect on radiation risk perception and exposure anxiety, whereas attitudes towards the use of radiation, risk perception, and anxiety about exposure were found to have a positive impact on the intent to use a smartphone application for dose measurements. Conclusion: A survey-based study was conducted to investigate how the general public perceives radiation and to examine the acceptability of a smartphone application as a personal dose monitoring device. If such an application is developed, it could be used not only to monitor an individual's dose, but also to contribute to radiation safety information infrastructure by mapping radiation in different areas, which could be utilized as a useful basis for radiation research.

• Journal of Biosystems Engineering
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• v.42 no.4
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• pp.330-338
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• 2017

Purpose: The smartphone is actively being used in many research fields, primarily in medical and diagnostic applications. However, there are cases in which smartphone-based systems have been developed for agriculture, environment, and food applications. The purpose of this review is to summarize the research cases using smartphone cameras in agriculture, environment, and food. Methods: This review introduces seventeen research cases which used smartphone cameras in agriculture, food, water, and soil applications. These were classified as systems involving "smartphone-camera-alone" and "smartphone camera with optical accessories". Results: Detecting food-borne pathogens, analyzing the quality of foods, monitoring water quality and safety, gathering information regarding plant growth or damage, identifying weeds, and measuring soil loss after rain were presented for the smartphone-camera-alone system. Measuring food and water quality and safety, phenotyping seeds, and soil classifications were presented for the smartphone camera with optical accessories. Conclusions: Smartphone cameras were applied in various areas for several purposes. The use of smartphone cameras has advantages regarding high-resolution imaging, manual or auto exposure and focus control, ease of use, portability, image storage, and most importantly, programmability. The studies discussed were achieved by sensitivity improvements of CCDs (charge-coupled devices) and CMOS (complementary metal-oxide-semiconductor) on smartphone cameras and improved computing power of the smartphone, respectively. A smartphone camera-based system can be used with ease, low cost, in near-real-time, and on-site. This review article presents the applications and potential of the smartphone and the smartphone camera used for various purposes in agriculture, environment, and food.

• Informatization Policy
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• v.25 no.4
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• pp.65-83
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• 2018

This study examined the effects of smartphone usage types and excessive expectation for smartphone on adolescents' smartphone overdependence. It utilized the data of 3,454 adolescents (1,758 males and 1,696 females), aged between 13 and 19 from a smartphone overdependence survey of the National Information Society Agency. As a result of the hierarchical multiple regression analysis, age and household income had a negative effect on smartphone overdependence. Weekly smartphone usage time positively affected the serious consequences (sub-factor of smartphone overdependence). Among the different types of smartphone usage, information seeking, SNS, gaming, and the excessive expectation for smartphones had positive impact on smartphone overdependence. Smartphone usage for leisure seeking did not affect smartphone overdependence, but it negatively influenced serious consequences. Messenger use did not affect smartphone overdependence, but the use had a positive effect on salience, and a negative effect on serious consequences. The results of this study suggest that it is necessary to identify the types of smartphone use as well as the usage time to understand the smartphone dependence of adolescents. In addition, it seems necessary to recognize and correct the irrational excessive expectation for smartphone in order to prevent dependence and implement effective interventions.