• Journal of the Korea Safety Management & Science
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• v.18 no.1
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• pp.119-129
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• 2016

This study analyzed symptoms of MSDs(Musculokeletal Disorders) associated with characteristics of smartphone usage based on questionnaire survey. This study also tried to identify their relationship based on the results from questionnaire survey. A total of 943 subjects participated for the survey. The results in terms of symptoms associated with smartphone usage were as follows; 1) 49.8% of respondents experienced symptoms associated with MSDs, 2) 35.9%, 34.0%, 22.1%, 21.7% and 20.9% of respondents had symptoms at shoulder, neck, elbow, wrist, and fingers respectively, 3) The effect of 'daily time of data use', 'monthly costs' for MSDs of respondents was significant. Specifically, this study has some significance since it tries to identify the relationship between MSDs symptoms and characteristics of smartphone usage. The results of the study can be good basis for better design and user guidelines of smartphone to prevent MSDs associated with smartphone usage.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.691-698
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• 2017

The purpose of this study was to investigate parental concern about infant's smartphone usage experience. The research participants were 6 parents with infants lived in Seoul and Gyeonggi province. The data were collected by focus group interviews. The results of this study revealed that parent's smartphone usage experience could be classified as "Everyday life" and "Supporting tool of parenting". And parental concern could be classified as "Uncertain educational expectation", "Developmental problems", and "Addiction propensity". This study could contribute to understanding the problems of smartphone usage of infants, and providing basic materials for parent education about correct guidance and addiction prevention of digital devices including smartphone.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.23-30
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• 2022

This study is an exploratory study to examine the relation between parents and children's smartphone usage time. The data from the 11th Korea Media Panel Survey conducted by the Korea Information Society Development Institute was used for empirical analysis. The findings revealed that parents' smartphone usage time and children's smartphone usage time are positively correlated, indicating that their smartphone use patterns share similarities as members of a family system. This study lays the foundation for future work to explain individual media use through family and media use environment.

• The Journal of Information Systems
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• v.26 no.1
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• pp.143-169
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• 2017

Purpose With the increase of the elderly population, the growth of its information system related market is increasing. However, empirical studies for the usage of elderly people's smartphones are still limited. This study aims to investigate the factors that affect the seniors' smartphone usage behaviors. Design/Methodology/Approach First, a preliminary study was conducted with targeting seniors who have visited Gwangju Senior Technology Center(GSTC) in order to understand the factors that affect the intention of utilizing smartphones. Next, based on the preliminary study results and literature reviews including the UTAUT model, performance expectancy, effort expectancy and social influence were considered for the major factors affecting the usage of elderly people's smartphones. Also, the moderate effects of personal innovativeness and usage function were discussed. A questionnaire survey of 181 seniors visiting GSTC was analyzed to empirically test the research model. Findings By the empirical tests, the performance expectancy and the effort expectancy of the seniors had significant impacts on their smartphone usage behavior. While the moderating effect of personal innovativeness was not significant, the moderating effect of the usage function was significant in the relationship between performance expectancy and the smartphone usage behavior. The results of this study are expected to provide guidelines to excavate the technical development and the niche market targeting the elderly people.

• Journal of Korea Game Society
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• v.20 no.1
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• pp.23-32
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• 2020

This study was attempted to investigate the factors that influence on problematic smartphone use and life satisfaction by smartphone usage type. A total of 25,465 people were used for the analysis and analyzed using the R (3.6.1) program. According to the data analysis, problematic smartphone use occurred in the form of leisure activity seeking and information seeking type. On the other hand, the communication type reduced problematic smartphone use. The type of smartphone use that had the greatest influence on life satisfaction was communication type The longer the smartphone use time and the higher the problematic smartphone use, the more negatively the life satisfaction.

• The Journal of Bigdata
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• v.1 no.1
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• pp.33-39
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• 2016

Recently, predicting personality with the help of smartphone usage becomes very interesting and attention grabbing topic in the field of research. At present there are some approaches towards detecting a user's personality which uses the smartphones usage data, such as call detail records (CDRs), the usage of short message services (SMSs) and the usage of social networking services application. In this paper, we focus on the assessing the correlation between MBTI based user personality and the smartphone usage data. We used $Na{\ddot{i}}ve$ Bayes and SVM classifier for classifying user personalities by extracting some features from smartphone usage data. From analysis it is observed that, among all extracted features facebook usage log working as the best feature for classification of introverts and extraverts; and SVM classifier works well as compared to $Na{\ddot{i}}ve$ Bayes.

• Journal of the Korean Society of Physical Medicine
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• v.11 no.3
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• pp.35-39
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• 2016

PURPOSE: The purpose of this study was to examine changes in the neck flexion angle according to posture while using a smartphone and the duration of smartphone usage. METHODS: The subjects in this study were 16 healthy young students in their 20s. The subjects wore a cervical range of motion instrument. They were instructed to use a smartphone while standing, sitting on a chair, and sitting on the floor. In all postures, they could use the smartphone and use their arms freely while keeping their back connected to the wall or the back of the chair. When sitting on the floor, they assumed a cross-legged position. The neck flexion angle was measured at zero, three, six, and nine minutes for each posture. RESULTS: Neck flexion is affected by the posture while using a smartphone (p<.05). Neck flexion in the standing position is larger than that in the sitting on the floor position. Neck flexion was affected by smartphone usage duration (p<.05). In general, as usage time increases, the neck flexion angle increases as well. CONCLUSION: This study suggests that using smartphone in the standing position and for a short period of time is a method to reduce the neck flexion angle.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.640-647
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• 2022

The purpose of this study was to investigate the factors influencing sleep quality of nursing students, focusing on depression, smartphone usage before sleep, and academic score. Among nursing students in the 3rd and 4th grades of two universities, 196 subjects were randomly selected. Data were collected from April to July 2021 using tool of sleep quality(PSQI-K), depression(Korean BDI-II), and smartphone usage before sleep, and the effect on sleep quality was analyzed through Stepwise Multiple Regression Analysis. As a result of the study, two factors, depression and smartphone usage before sleep, had 39.0% explanatory power for the sleep quality of nursing students, and were statistically significant. That is, the higher the depression level and the more frequent smartphone usage before sleep, the worse the sleep quality level. However, academic score was not a significant variable. In conclusion, in order to improve the sleep quality of nursing students, it is necessary to reduce the pattern of sleep disorders related to depression and to correct the lifestyle by reducing smartphone usage before sleep.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.127-139
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• 2014

This study presents a logging method to trace the usage patterns of existing smartphone apps. The actual smartphone app itself, not a specially developed similar app with usage logging, would be used best for the experiment of observing the usage patterns. For this purpose, we used a method of injecting logging codes into existing smartphone app. Using this method, we conducted an experiment to trace usage patterns of a commercial IPTV app, and found that the method is very useful for acquiring detail usage log without influencing participants.

• PNF and Movement
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• v.17 no.1
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• pp.57-68
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• 2019

Purpose: This study is an investigation of the effects of long-term smart phone usage and of stretching on muscle stiffness, concentration, and visual acuity. Methods: Forty healthy young adults voluntarily participated in the study and were measured for muscle stiffness, concentration, and visual acuity before smartphone usage and after 30 minutes, 60 minutes, and 90 minutes of smartphone usage. The participants were randomly allocated to the intervention group (n=20) and the control group (n=20). Five minutes after the stretching exercise and eye exercise intervention, the participants were remeasured. Results: After long-term smartphone usage, increases in muscle stiffness and concentration were statistically significant (p<0.05), whereas decreases in visual acuity were statistically significant (p<0.05). After the stretching exercise and eye exercise intervention, muscle stiffness significantly decreased (p<0.05) and visual acuity significantly increased (p<0.05). Concentration, according to the stretching exercise and eye exercise intervention, showed no significant pre- or post-test difference. Conclusion: The results from this study indicate that long-term smartphone usage effectively improved concentration but increased muscle stiffness and decreased visual acuity. Appropriate stretching and eye movement during long-term smartphones usage should mitigate the effects on muscle stiffness and visual acuity. Furthermore, smartphones should be considered an effective tool for concentration training when coupled with the development of appropriate applications.