• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.257-258
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• 2014

국내 스마트폰 가입자는 2014년 8월말 3965만을 넘어서고 있으며, 문제는 과도한 스마트폰 사용에 따른 중독현상이다. 스마트폰에 익숙해져 있는 생활속에서 대학생들과 일반인들은 얼마나 스마트폰에 중독되어 있을까에 대한 연구이다. 2012년 한국정보화 진흥원의 '스마트폰 중독실태보고서'에 따르면, 스마트폰에 중독된 사용자 비중은 8.4%다. 여기에 여자대학생 218명의 스마트폰 중독실태조사에서는 11.2%를 넘어 일반인에 비해 휠씬 중독결과로 매우 심각한 상태이다. 스마트폰 과다 사용위험을 깨닫고 사용자 스스로 조절하고 계획적인 사용을 하도록 노력해야 한다.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.365-375
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• 2012

This study aimed to survey the impact of smartphone overuse on upper extremity pain, anxiety, depression, and interpersonal relationships among college students. Subjects completed a structured questionnaire consisting of the Smartphone Addiction Inventory, the Musculoskeletal Symptom Checklist, the State-Trait Anxiety Inventory, the Beck Depression Inventory-II, and the Relationship Change Scale from May to June 2012. We analyzed the survey data from 525 responses, excluding unreturned or incomplete surveys. Data were analyzed using the $x^2$ test and t-test to determine the differences in smartphone overuse and its impact on upper extremity pain, anxiety, depression, and interpersonal relationships between two groups: the overuse and normal use groups. Moreover, Pearson's correlation coefficient was used to examine the correlation between smartphone overuse and upper extremity pain, anxiety, depression, and interpersonal relationships. The results placed 62 people (11.8%) in the smartphone overuse group. The extent of smartphone overuse was more severe among female than male college students, and longer time spent using smartphones per day was directly related to smartphone overuse. The smartphone overuse group evidenced higher shoulder pain than the normal use group did, but no differences were found in other sites of the upper extremities. State anxiety, trait anxiety, and depression were higher in the smartphone overuse group than in the normal use group. Subjects with a higher extent of smartphone overuse experienced increased state-anxiety, trait-anxiety, and depression. Moreover, subjects with higher state-anxiety, trait-anxiety, and depression scores were more likely to have poor interpersonal relationships. Therefore, early screening for smartphone overuse should be evaluated, because it can be useful in developing addiction prevention programs to improve posture, stress coping, positive mental health, and effective interpersonal relationships.

• Informatization Policy
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• v.18 no.3
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• pp.50-68
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• 2011

In this paper, our goal is to examine the factors related to smartphone users' usage addiction. Based on existing literature on mobile usage behavior and addiction, we developed and tested a theoretical model and hypotheses, analyzing how variables based on the characteristics of smartphones affect smartphone usage addiction and how smartphone usage addiction affects social withdrawal. Given the literature review, a questionnaire survey was conducted; and the PLS(Partial Least Square), a kind of SEM(Structural Equation Model), was used to analyze and test the research model and hypotheses. The research results indicated that smartphone users' self-monitoring, loneliness, and smartphone characteristics affect users' usage addiction. Further, smartphone users' usage addiction affects their social withdrawal. Finally, theoretical and practical implications of these findings and directions for future research were discussed.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.208-217
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• 2013

This study examined effects of smart-phone addiction on the youth's sociality development empirically by questionnaire survey. To conduct this study, 339 high school students participated in the survey. The major findings of the study were as follows; Smart-phone addiction had a significant influence on sociality development in negative way. Specifically, sub-domain of smart-phone addiction(disturbance of adaptive, virtual life orientation, tolerance) affect on sociality development in negative. Interesting, Smart-phone using time affect on sociality development in positive. The implications of these results for research, practice and future directions were also discussed.

• Informatization Policy
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• v.22 no.3
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• pp.36-46
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• 2015

This study verified theoretical model to explain adolescents' addictive use of smartphone. I used the data of 679 middle and high school students among 2013 internet addiction survey of National Information Society Agency(NIA). This study utilized structural equation modeling analysis to compare a suggestive model and alternative model. According to the final model, higher the satisfaction of family relationship, the addictive use of smartphone and emotional problems of adolescents were reduced. And, higher the addictive use of smartphone, higher the emotional problems of adolescents. Also, family relationship affects emotional problems via addictive use of smartphone. While, in the alternative model, path from amount of smartphone use to addictive use of smartphone was not significant. Results of this study suggest that family relationship variable may play an antecedent factor of addictive use of smartphone and emotional problems of adolescents and control of smartphone use is important to keeping a mental health of adolescents.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.1-8
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• 2014

Recently, use of smartphones has increased so sharply at all ages that addiction problems have emerged. This study analysed factors, focusing on demographic variables, that impact on smartphone addiction of elementary students. First, differences between distributions of addicted groups and those between distributions of most frequently used smartphone functions per variable are analyzed. As a result, grade and academic achievements yield the biggest differences between distributions of addicted groups and gender, grade, and academic achievements yield differences between distributions of most frequently used smartphone functions. Also, differences between distributions of most frequently used smartphone functions per addicted user group are regarded significant. Furthermore, factors affecting smartphone addiction are analysed through the logistic regression analysis and decision trees, where grade, academic achievements, dual-income parents, and residential areas are found affecting in that order.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.1
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• pp.34-43
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• 2020

Objective : The purpose of this study was to investigate the difference between smartphone addiction and sensory processing ability depending on the time of smartphone usage by at risk of smartphone addiction. Methods : Participants of this study were 124 toddlers in a The data collection period was from September 2019 to December 2019. Measurements in this study included a questionnaire on general information about the subject, a smartphone addiction scale, and a short sensory profile. Methods for the data analysis included descriptive statistics and an independent t-test using SPSS 22.0. Results : There were significant differences between groups depending on smartphone usage time in terms of total smartphone addiction, salience, impulse-compulsive use, withdrawal, tolerance, and interpersonal conflict among toddlers. There were also significant difference in sensory processing ability between groups according to the total Short Sensory Profile score (and in all sub-domains; p=.000 ~ .042). Conclusion : This study found that there was a difference in smartphone addiction and sensory processing ability depending on the smartphone usage time of toddlers at risk of smartphone. It is meaningful because it raises the need for education on the use of smartphones by toddlers.

• 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.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.61-69
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• 2017

This study was to identify the correlation between dry eye syndrome, upper extremity pain, depression and addictive smart phone use among college students. Data were collected from 286 college students using a self-report questionnaire. 15.0% of participants have an addictive smart phone use. There were significant differences by dry eye syndrome(t=-4.38, p<.001), neck pain(t=-2.60, p<.05) and depression(t=-4.15, p<.001) according to the addictive smart phone use. Dry eye syndrome(r=.332, p<.001), neck pain(r=.143, p<.05), hand pain(r=.138, p<.05) and depression(r=.402, p<.001) were positively related to addictive smart phone use. Strategies to diminish depression, and to prevent dry eye syndrome and neck pain in college students will be an important intervention component to prevent addictive smart phone use and health problems in future studies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1632-1640
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• 2014

This study was conducted to investigate the factors affecting smartphone addiction of university students and to provide the data for developing intervention program of smartphone addiction prevention. The data were collected from 354 university students and analyzed with t-test and multiple regression by using SPSS 18.0 program. The smartphone addiction rate was 27.4%, which the high risk group rate was 6.2% and potential risk group rate was 21.2%. The significant factors of smartphone addiction were gender(${\beta}=0.149$, p<.001), average daily using time in week(${\beta}=0.292$, p=.001), average daily using time in weekend(${\beta}=0.390$, p<.001), wrist pain in using smartphone(${\beta}=0.148$, p<.001), accident in using smartphone(${\beta}=0.133$, p=.002), sociality(${\beta}=-0.099$, p=.029), impulsiveness(${\beta}=0.211$, p<.001), SNS addiction(${\beta}=0.376$, p<.001). And these factors explained 43.3% of the variance in smartphone addiction. In conclusion, the results from this study indicated a need to develop the intervention program to prevent smartphone addiction considering these factors affecting smartphone addiction.