• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.3
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• pp.233-238
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• 2013

In this paper, voice analysis is performed to propose a quantitative indication of withdrawal symptoms of smartphone addiction, applied to 20 males in their 20s. For this, their smartphones were confiscated during a certain period, and we collected samples of voice signals from them before and after that period. The pitch variation and intensity magnitude of the voice samples were used in the experiment to investigate their anxiety resulted from withdrawal symptoms. The experimental results showed an increase in pitch variation from 90% of samples, and a decrease in intensity magnitude from 95% of them. Finally, we carried out a study to find a statistical significance from the extracted experimental results through statistical analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1207-1215
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• 2015

The smartphone addiction research to identify the pattern according to your smartphone addiction. Recovery of 689 to 1429 parts by distributing the total recovery is 48.22%, respectively. Were utilized to study 650 data. Smartphone addiction group was divided into low, group care, group into three groups according to the degree of severity smartphone addiction. The response that smartphone addiction severity group 135 people 86.5%, lower addiction group 59 people% smartphone smartphones note 165 people group 50.2%, 35.5 'no' do you think about the own smartphone addiction (p <0.001). Showed that exceeds 50% of the smartphone severe poisoning group and attention should use having a chat group with respect to the smart phone. Also showed that beyond a midnight bed time group the more severe the smartphone addiction. Usual findings for bedtime showed a tendency to sleep late pass midnight smartphone addiction show higher water shortage phenomenon. Could be used as the basis for the study which may be a healthy life to predict the degree of occurrence of a pattern according to the type of smart phone poisoning by identifying the factors of the individual according to the degree of poisoning smartphone pattern.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.627-634
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• 2017

The purpose of this study was to investigate the effects of elementary school students' stress and social support on smartphone addiction and school adjustment. Our hypothesis is that stress and social support of elementary school students affects smartphone addiction and school adjustment. In addition, the study model assumes that stress and social support of elementary school students were mediated by the effects of smartphone addiction. Analysis results found that elementary school students' stress affects smartphone addiction and school life adaptation, and social support influences school life adaptation. Elementary students' smartphone addiction has little influence on school life adjustment. Stress in elementary school students has a strong influence on smartphone addiction, social support, and adaptation to school life. In other words, higher stress levels results in higher frequency of use of smartphones, which may directly affect smartphone addiction and the ability to adapt to school life. The effects of stress and social support of elementary school students on school life adaptation and smartphone addiction were ultimately indirect. Based on the research results, this study suggests policy implications for elementary school students' addiction to smartphone and ability to adapt to school life.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.239-249
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• 2016

In this study, the personality type of youths was divided into 4 areas: Open, Blind, Hidden and Unknown, and the four different types were analysed according to the impact on smartphone addiction. The survey was conducted on 406 middle school students in Jeonbuk province to assess the relationship between smartphone addiction of youth and the personality type. The results of this study are as follows: First, the difference of smartphone addiction in youth between genders is not large, but males were largely affected by tolerance, while females by difficulty of daily living. Second, the differences of smartphone addiction between grades found that difficulty of daily living and tolerance had a statistically significant impact. Third, the result of co-relationship between the Johari window type of mind and smartphone addiction showed that blind type and unknown type had a statistically significant positive relationship but open type had a negative impact. Finally, analysis of variables about whether a type of mind affected smartphone addiction showed that there was a relationship. The most serious type of addiction to smartphones showed in hidden type and unknown type. Therefore in developing programs to treat smartphone addiction it should seek specific measures to help these groups.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.487-495
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• 2017

The purposes of this study were to find smart-phone addiction how to mediate between worker's stress, anxiety and work commitment. The subject of survey was 329 workers in a public cooperation, and the data were analyzed by AMOS 18.0. The major findings were as follows; First, the higher the stress and anxiety, the more the direct effect on smartphone addiction. Second, smartphone addiction showed a significant negative relationship with work commitment. Third, smartphone addiction played a mediating role in the relationship between stress, anxiety, and work commitment. Workers with high levels of stress and anxiety were over-dependent on smartphones, which resulted in a decrease in work commitment. In order to prevent the problem of smartphone addiction of workers, it is necessary to prepare guidelines for correct use of smartphone in the workplace and service support should be provided according to the level of addiction. In addition, in order to improve work commitment, active support from the aspect of corporate welfare is needed to manage stress well. Finally, this study has a policy implication in that it reveals the route leading to smartphone addiction.

• Journal of the Korean Society of Radiology
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• v.14 no.7
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• pp.915-922
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• 2020

This study analyzed the content of use Tendency and addiction according to smartphone use of targeting radiological Technologist working in Gyeongnam area. The tool used as the data for the study is a survey. From April 21 to May 31, 2019, a total of 330 questionnaires were distributed to radiological Technologist working at medical institutions in Gyeongnam, and 300 copies suitable for the study were SPSS/PC Ver 18.0 program for Analysis was performed using. The factors of the study subject's tendency to use smartphone were communication, information, leisure, and convenience. As for the addiction factors, a total of 37 questions were analyzed, including daily living disorder, virtual world orientation, tolerance, and withdrawal. Smartphone-related characteristics were set as monthly average fee, usage time, and SNS usage time, and technical statistics, t-test, ANOVA, correlation and regression analysis were performed. The radiological Technologist tendency to use smartphones was 3.10±.55 points, which was average, and smartphone addiction was 2.34±.62 points, which was lower than the average. It was found that there was a significant correlation between the radiological Technologist Tendency to use smartphone and addiction. The effect of radiological Technologist tendency to use smartphone on addiction it was found to account for 10.8%. Through this study, it can be said that it is important to analyze the addiction factors according to the tendency use smartphone of radiological Technologist and to prepare a desirable plan for smartphone use.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.398-407
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• 2017

This study examined the relationship among smartphone addiction, life stress, and family communication in nursing students. A total of 172 subjects participated in this study and the data were collected using the structured questionnaires. The collected data were analyzed using an independent t-test, ANOVA, Pearson's correlation coefficient, and multiple linear regression using the SPSS WIN 19.0 program. Overall, the level of stress was high, time of family communication was short, and smartphone addiction rate was high in nursing students. The high risk group of smartphone addiction was 14.0%, potential risk group was 29.0%, and normal group was 57.0%. In the risk group, the life stress was higher (t=3.15, p=.002) and family communication was not better (t=-2.53, p=.012) than the normal group. Smartphone addiction correlated significantly with life stress (r=.27, p<.001) and family communication (r=-.26, p=.001). The factors affecting smartphone addiction were smartphone usage time, life stress, importance of smartphones in their lives, and family communication, and the explanatory power was 31.3%. Based on these results, it is necessary to develop personalized and collective customized intervention programs focused on smartphone using method, life stress management, and family communication for the prevention and management of smartphone addiction of nursing students.

• Child Health Nursing Research
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• v.29 no.2
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• pp.128-136
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• 2023

Purpose: This study aimed to identify the main keywords and research topics used in research on problematic smartphone use (PSU) among children (6-12 years old), including parental factors. Methods: The publication period for the literature was set from January 2007 to January 2022, as smartphones were first released in 2007. In total, 395 articles were identified, 230 of which were included in the final analysis. Text network analysis was performed using NetMiner 4.5. Results: Research on this topic has steadily increased since 2007, with 40 papers published in 2021. Eight main research topics were derived: group 1, parental attitudes; group 2, children's PSU behavior and parental support; group 3, family environment and behavioral addiction; group 4, social relationships; group 5, seeking solutions; group 6, parent-child relationships; group 7, children's mental health and school adaptation; and group 8, PSU in adolescents. Conclusion: Parental factors related to PSU have been studied in various aspects. However, more active research on school-age children's PSU needs to be conducted due to the paucity of research in this population compared to studies conducted among adolescents. The results of this study provide useful data for selecting research topics in the field of PSU.

• 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.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.289-297
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• 2014

The purpose of this study was to investigate the relation between smartphone addiction and interpersonal competence of college students using social network service(SNS) through smartphones. This study used a descriptive study design. The convenience sample consisted of 502 college students in six cities. The data were collected from May to June in 2012 using Korean Smartphone Addiction Proneness Scale and Interpersonal Competence Questionnaire. Descriptive statistics, ${\chi}^2$-test, t-test, analysis of variance, and Pearson correlation coefficient were used to analyze the data. The results showed that 24.8% of SNS users were considered as a risk group, while 75.2% were normal user group. There were no significant differences of interpersonal competence between risk group and normal user group in the SNS users. However, risk group had higher self-disclosure scores than normal user group. The subjects who had higher scores for virtual life, one of smartphone addiction subdomains, had lower interpersonal competence and those with higher smartphone addiction scores showed lower score of managing interpersonal conflict in subdomains of interpersonal competence. These findings would contribute in development of preventive interventions for smartphone addiction and improvement program for interpersonal competence in college students.