• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.225-228
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• 2021

본 연구는 스마트폰 중독과 관련된 다양한 분석을 위한 스마트폰 사용 앱과 관리자 웹을 개발하고자 한다. 연구방법으로 이전 연구에서 중요한 변수로 작용되었던 '화면 켠 횟수', '실사용시간-인지사용시간' 변수를 분석할 있도록 적용하여 스마트폰 사용시간, 사용량, 사용 앱, 화면 잠금을 해제한 횟수 등 다양한 데이터 수집이 가능한 앱을 개발한다. 관리자 웹은 수집된 데이터를 저장, 분석할 수 있는 공간으로 사용할 것이다. 앱에서 수집된 데이터는 서버에 전송한 후, 시각화 분석 기능을 제공하는 관리 프로그램으로 개발하여 스마트폰 중독 연구에 사용한다. 향후 데이터 수집과 사용 목적에 동의한 사용자를 모집하여 데이터를 수집하고 스마트폰 사용 패턴, 데이터마이닝, 중독 등과 관련된 다양한 분석을 할 것이다. 이를 통해 보다 정확하고 효과적인 스마트폰 중독 진단이 가능해질 것과 나아가 스마트폰 중독 치료방안 연구에 기여할 것으로 기대한다.

• Informatization Policy
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• v.21 no.4
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• pp.59-80
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• 2014

As usage of smartphone increases, it causes various social issues including smartphone addiction. This study, therefore, examined the impact of smartphone users' multitasking behaviors, satisfaction and flows on the smartphone addiction. Also, this research investigated the impacts of users' characteristics such as their polychronicity, innovativeness, and self-efficacy on their multitasking behaviors. The results of this study can be summarized as follows: users' polychronicity showed positive impact on their multitasking behaviors while innovativeness and self-efficacy did not. In addition, users' multitasking behaviors had significantly positive effects on satisfaction, flow and addiction. Users' satisfaction, however, did not show the direct impact on addiction while the positive impact on the flow, which in turn had direct effects on addiction. In sum, users' polychronicity and their multitasking behavior can be considered one of the most important predictors directly and indirectly through flow explaining smartphone addiction.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.147-159
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• 2014

This study aims to offer a wide range of practical implications for Smartphone addiction prevention by verifying the effect of mind health as a factor that is influenced by Smartphone addiction, and testing the relationships between Smartphone addiction and mind health with school life adaptation as a mediation effect. For this research, a survey was conducted of 250 elementary school students who use Smartphones. The relationships between Smartphone addiction, mind health and school life adaptation were set as the structural equation model, and they were verified by the mediation effect of school life adaptation. The results showed that school life adaptation turned out to be an entirely mediating variable on the relationship between mind health and Smartphone addiction. The statistical significance of the effect on school life adaptation was verified by the Sobel test. The mediation effect resulted in mind health reducing the occurrence of negative emotion of school life adaptation, and also reinforced decreased Smartphone use.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.287-296
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• 2019

The purpose of this study is to deeply understand the causes of addiction of the addicted adolescents of smartphone. Colaizzi's phenomenological study method was applied to analyze the causes of the addiction caused by the addicts'. The results of the study were confirmed 63 constructive meanings in the meaningful data expressed in the participants' experiences, Based on them, they were derived as 26 subjects, 8 subject groups and 2 categories. The causes of addiction were 'Personal psychological factor', 'Behavior habit factor', 'Social relation factor' and 'Internet smart phone factor'. Psychological, physical, interpersonal and everyday life changes were the results accompanied by causes of addiction. Through this study, the causes of addiction revealed in the participants' experiences are expected to be applied to the client-centered therapy of the smartphone addiction counseling process.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.419-429
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• 2017

This study examined the moderating effects of gender on the effects of anxiety and depression on college students' smartphone addiction. For this purpose, 331 students in Gyeonggi province were conducted a survey, and a structural equation modeling was used. The results showed that female had higher levels of anxiety, depression, and smartphone addiction than male. Second, the analysis of structural equation modeling to investigate the effect of anxiety and depression on smartphone addiction revealed that depression affects smartphone addiction. Third, gender had a moderating effect on the effects of anxiety and depression on smartphone addiction. Anxiety affected male, while depression worked on female. Based on the results of this study, it was discussed that different approaches are needed depending on gender in preventing and intervention for smartphone addiction.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.1-10
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• 2014

Smartphone addiction and internet addiction cause a serious negative social problem due to the spread of the new media which is combined with the ubiquitous function. To evaluate the degree of Internet addiction and smartphone addiction of college students in the nearby areas, K-scale of internet addiction self-diagnosis scale and S-scale of smartphone addiction self-diagnosis scale for Korean adults were applied. This study aims to develop the survey questions, which get the basic internet patterns and access the web site, and to find the hidden addicts that is not found by general K-scale and S-scale using computers and smartphones. The result shows that a method of addiction diagnosis using the tolerance degree which is calculated by smart phone's internet main activities and using time(anticipated and real time) apart from K-scale and S-scale. So hidden internet and smartphone addicts could be found through the SPSS statistical analysis program.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.401-402
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• 2015

본 연구는 스마트폰 중독에 따른 통합치료 방안을 모색한 것이다. 스마트폰의 심리적 요인으로 자기통제력 상실과 우울증을 들었다. 기존 치료방안의 문제점을 소개하였고, 스마트폰 중독의 치료방안으로는 환자에 맞춘 다중치료 프로그램을 소개하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.391-400
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• 2019

This study was conducted to investigate the connections between life stress and smartphone addiction of nursing college students. The subjects included nursing college students in some areas. Data were collected in November and December, 2018 from a total of 240 subjects. Collected data were subjected to frequency, percentage, t-test, ${\chi}^2$-test, and ANOVA analyses to identify differences in smartphone addiction level and stress characteristics according to general characteristics. Correlations between smartphone addiction and stress characteristics were investigated by Pearson's correlation analysis, and factors influencing smartphone addiction were examined by hierarchical multiple regression analysis. The findings showed that independent variables had explanatory powers of 14.8% and 32.7% in Models 1 and 2, respectively. The study examined differences in smartphone addiction level according to the general characteristics of the subjects and found that female college students had a higher level of smartphone addiction than their male counterparts. The smartphone addiction level was high in those who were not satisfied with college life, used a smartphone for five hours or more a day, and spent many hours on SNS. Evaluation of differences in stress characteristics according to their general characteristics revealed female college students scored higher for stress characteristics. The means of the stress characteristics were also high for those who were not satisfied with college life, used a smartphone for many hours, and had a high risk of smartphone addiction. In conclusion, female gender, hours of smartphone usage and SNS, academic stress, and value stress were important factors influencing the smartphone addiction of nursing college students. These findings indicate the need to reinforce a stress management program for nursing college students and thus provide them with multifaceted support for stress management.

• 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.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.326-336
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• 2017

This study investigates the relevance of stress, self factor and emotional factor, and the influence on Smartphone Addiction Level among college students. The survey was administered to 261 college students in J city from December 16th to 23rd, 2016. The structured self-administered questionaries were used. The multiple linear regression analysis revealed that the factors with explanatory powers of 52% on Smartphone Addiction Level included physical activity changes, sleep disorders, the self control about self factors, the impulsion of emotional factors. With the analysis of covariance structure, we could confirm the relationship among the four factors such as stress, self factor, emotional factor and Smartphone Addiction Level. The results of the study indicate that the efforts to manage stress, self factors and emotional factors, are required to reduce the Smartphone Addiction Level of the college students. The results are expected to be useful for the development of programs and policy to decrease the Smartphone Addiction Level. In the following study, structural equation modeling about additional factors, which influences on Smartphone Addiction Level, will be needed.