• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6180-6189
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• 2015

The purpose of this study is to clarify the factors that affects smartphone addiction of elementary school students. The subjects were 263 students, from 4 elementary schools located in G-city. Data were collected from July, 2014 and analyzed using SPSS 19.0 program. The prevalence of addiction risk group and non-addicted group were 16.0% and 84.0%, respectively. The variables which had statistically significant differences with smart phone addiction of general characteristics are grade, living together family, economic status, school record, motivation for usage, advantage of usage and using time (p<.05). There was pure correlation between the smartphone addiction and impulsivity (r=.496, p<.001), daily stress (r=.471, p<.001). However, perceived parental attitude (r=-.375, p<.001) and self-esteem (r=-.444, p<.001) were inverse correlation with smartphone addiction. Higher using time, higher impulsivity and higher daily stress were all associated with increased of smartphone addiction level. These results suggest that more attentions should be given to early adolescents and could be effectively used as fundamental data to develop intervention programs, which can prevent the smartphone addiction.

• Journal of Korea Multimedia Society
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• v.18 no.5
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• pp.599-609
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• 2015

As smartphone usage has increased recently, so has smartphone addiction. Many of the smartphone users, however, do not even recognize the risk of smartphone addiction. In this experiment, smartphone users have been categorized into two groups by smartphone addiction measure (S-measure) developed by 2011 National Information Society Agency (NIA): A high risk group and a normal group. The changes of brain waves have been observed when the subjects were watching emotional videos of anger, sadness, happiness, and fear. The results show that the values of FP1 and FP2 (frontal lobe) theta band of the high risk group have been measured to be high, which indicate anxiety disorder. Although happiness and fear videos showed no difference between these groups, sadness and anger videos showed significantly different results for these groups: the brain waves of the high risk group showed higher values than those of the normal group. Therefore, this experiment showed that the high risk group takes feelings of sadness and anger more sensitively than the normal group.

• Korean Journal of Childcare and Education
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• v.11 no.2
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• pp.109-129
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• 2015

This study is to examine the effects of smartphone addiction on the mothers' parenting efficacy and parenting attitude. This study consisted of 203 smartphone using mothers of preschoolers in Gyonggi-do. The measurements included smartphone addiction scale(National Information Society Agency, 2011), the parenting efficacy scale(Choi & Chung, 2001), and the parenting attitude scale(Bae, 2005). Theses analyses were included in the Pearson correlation coefficient, the T-test, and the Hierarchical regression analysis. The findings indicated that the younger mothers showed higher levels of smartphone addiction. The results of smartphone addiction subscales on parenting efficacy indicated that the disturbance of adaptive functioning was related with general parenting ability, healthy parenting ability, communication ability, and learning guidance ability. The results of smartphone addiction subscales on parenting attitude showed that the disturbance of adaptive functioning was positively related with rejective parenting attitude and virtual life orientation was negatively associated with affective and autonomous parenting attitude. These findings can emphasize parents' appropriate smartphone use, and be useful resources to develop and utilize the programs of positive parenting efficacy and parenting attitude.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.51-60
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• 2021

This study is a descriptive research conducted to identify smartphone addiction and influencing factors of high grades of elementary school students. The subjects were 294 elementary school students in the 4th, 5th, and 6th grades at 31 regional children's centers located in C city. Data were collected from May 13, 2019 to June 10, 2019. For data analysis, frequency analysis, 𝑥²-test, and logistic regression analysis were performed using SPSS Win 23.0 program. The result of the study were 16% in the addiction risk group and 84.0% in the general group. Factors influencing smartphone addiction were smartphone usage time on weekdays(95% CI: 1.263~827.849, p=.036), and main usage time of smartphone(95% CI: 1.028~29.574, p=.046). Therefore, in order to prevent smartphone addiction of high grade of elementary school, it is necessary to develop a smartphone addiction prevention education or nursing intervention program by identifying usage time and main usage time of smartphone.

• Journal of the Korea Society of Computer and Information
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• v.23 no.3
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• pp.101-106
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• 2018

The purpose of this study is to analyze the patterns of unconsciousness smartphone use by using an app and a self-administered survey on smartphone addiction comparatively and examine differences between recognition and behavior about actual smartphone use and examine how smartphone addiction influences learning. With an app installed in smartphones, this author collected and analyzed data about users' unconsciousness using patterns for a month. According to the results, there were significant differences found in users' recognition and actual time for use and also frequency of turning on the display. Also, 22% of the subjects used their smartphone over 8 hours a day, and 76% more than 5 hours. Over 95% turned on the display more than 100 times a day, and in extreme cases, they did more than 300 times. In the meantime, users not only in the smartphone addiction high risk group and the potential risk group but also in the general user group are found to use their smartphone too long and too much and frequently turn on the display. The apps that the general user group is mainly using are entertaining apps, and their school records are rather good, so excessive use does not always lead to addiction or learning disorder. Therefore, if we develop more diverse contents for learning and provide digital literacy education, smartphone use will bring more positive effects instead. In follow-up research, the app should be corrected to collect more accurate information, and as variables in personal areas, this researcher will also measure depression, anxiety, stress, self-esteem, and emotional control, and so on to see how they are associated with smartphone use.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.175-185
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• 2017

This study examines the mediating effects of learned helplessness and procrastination in the relationship between social-psychological stress and internet${\cdot}$smartphone addiction among adults. The study subjects were 231 adults (114 males and 117 females) with a mean age of 27.7(SD=6.6) years. The results of the study are as follows. First, stress and internet${\cdot}$smartphone addiction had a significant positive correlation. Second, the mediating effect of learned helplessness in the relationship between stress and internet addiction was significant. Third, the mediating effect of learned helplessness through procrastination in the relationship between stress and internet addiction was significant. Forth, the mediating effect of learned helplessness in the relationship between stress and smartphone addiction was significant. Fifth, the mediating effect of learned helplessness through procrastination in the relationship between stress and smartphone addiction was significant. Based on the results of this study, we discussed the role of helplessness and procrastination in the relationship between stress and internet addiction.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.86-94
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• 2019

This study investigated the differences of perceived parenting attitude and academic stress on smartphone addiction according to the classification of addiction-risk group among middle school students. A descriptive research design was used. The subjects were 358 middle school students from five middle school in Daegu. Data were analyzed by descriptive statistics, ${\chi}^2$ test, t-test, and stepwise multiple regression using SPSS 18.0. Smartphone addiction-risk group was 97(27.0%) and general group was 261(72.9%). Smartphone addiction-risk group was more negatively perceived parenting attitude and higher academic stress than the general group. The most influential factors on addiction-risk group was using time in a day(${\beta}=.29.4$, p=.003) and general group was academic stress(${\beta}=.298$, p=.000). It is important to develop an intervention program to prevention the smartphone addiction according to the classification of addiction-risk group.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.509-517
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• 2020

The study seeks to understand the effects of boredom proneness on impulse purchasing and smartphone addiction of young consumers. Moreover, the possible mediating role of smartphone addiction is tested for the effect of boredom proneness on impulse purchasing. Nowadays, the effect of emotions on human behavior is generally accepted, and boredom is one of the important and common problematic feelings or moods at various levels of life due to factors like unemployment, not being able to work in a suitable job, not getting appropriate education matching individual abilities, monotony of tasks, and feeling life is meaningless. Investigating the effect of boredom on specific consumer behavior would increase our knowledge about consumer behavior. For the research, a survey was conducted 313 students from Kirikkale University, Keskin Vocational High School; the data were collected by convenience sampling method. The data were processed through statistical tools like exploratory factor analysis, coefficient alphas, and regression analysis. The results of the study reveal that boredom proneness affects impulse purchasing and smartphone addiction. In addition, it is understood that smartphone addiction plays a mediating role in the effect of boredom proneness on impulse purchasing. These results indicate that boredom can be an important factor affecting certain negative consumer behaviors.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.567-574
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• 2014

This paper is about an analysis of the result of the survey which is how the use of smartphone affects the creative personality, focused on 4th and 6th grade in Elementary school, by smartphone addiction self-diagnosis and creative personality test. As a result of the analysis, 6th graders were influenced by their possession of smartphone and the degree of one's smartphone addiction on their creative personality. However, the usage period of smartphone did not turn out to affect their creative personality. In addition, none of the factors above, related to students' smartphone usage, influenced the creative personality of 4th graders. Particularly, there was a negative correlation between the level of students' smartphone addiction and the creative personality and it was found that whether the students own a smartphone or not played a crucial role in creative personality rather than the usage period of smartphone. Therefore, students should be properly educated how to use smartphone appropriately and to prevent them from smartphone addiction in order to improve creative personality which is one of the core competences in 21st century.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.100-108
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• 2020

This study investigates the effects of sociality, life stress, and depression on smartphone addiction among nursing college students. In October and November 2019, data was collected from nursing college students situated in certain areas. The data of totally 270 students was finally analyzed by frequency, percentage, t-test, and ANOVA, to examine differences in smartphone addiction according to the general characteristics of the subjects. Major variables and multiple regression analysis was carried out to examine factors influencing smartphone addiction. We determined that hours of using a smartphone (β=0.183, p<0.001), life stress (β=0.369, p<0.001), and depression (β=0.205, p=0.012) significantly affect smartphone addiction, having an explanatory power of 33.5%. Life stress (r=0.50, p<0.001) and depression (r=0.35, p<0.001) have high positive correlations with smartphone addiction, whereas sociality (r=-0.20, p<0.001) is negatively correlated. To summarize, our results indicate that hours of using a smartphone, life stress, and depression have important impacts on smartphone addiction among nursing college students. These findings raise a need to reinforce the development of programs to help nursing college students increase their ability of managing hours of using a smartphone, and reduce their life stress and depression to prevent subsequent smartphone addiction.