• 한국체육학회지인문사회과학편
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• v.55 no.3
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• pp.543-551
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• 2016

The study was aimed at investigating the relationship between biomechanical properties of cervical muscles and smartphone addiction score in fifty healthy males using smartphone more than 60 minutes each day. The usage of smartphone was evaluated by smartphone addiction survey developed from Korean International Society Agency. Biomechanical properties of three major cervical muscles; splenius capitis, sternocleidomastoid and upper trapezius, were measured by Myoton, and conducted five parameters; frequency, decrement, stiffness, creep, and relaxation time. As results, all parameters had less than 2% of coefficient of variation(CV) between measurement intervals. Also, intra-class correlation coefficient(ICC) indicated a high reliability(ICC>.9, p<.01). Moreover, the smartphone addiction score was significantly different in frequency(r=.353, p<.05) and stiffness(r=.346, p<.05) on upper trapezius; in addition, in decrement(r=-.284, p<.05) and creep(r=.288, p<.05) on sternocleidomastoid. Especially, splenius capitis was closely related with the overuse of smartphone(frequency, r=-.368, p<.01; decrement, r=-.405, p<.01; stiffness, r=-.424, p<.01). In conclusion, this study implied that the overuse of smartphone is significantly related with the damage of cervical muscles, cervical pain, and headache; furthermore, Myoton can be used as an effective device to assess mechanical properties of cervical muscles.

• The Journal of Korean Association of Computer Education
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• v.20 no.3
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• pp.35-46
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• 2017

The purpose of this study is to analyse the longitudinal relations between creativity, academic achievements, and utilization of computer & smartphone of middle school students. For this purpose, multivariate latent growth model was verified, using three year longitudinal panel data of Seoul Educational Longitudinal Study(2013-2015). Results indicated that the more students in their first year used computer & smartphone, the better scores they obtained on the creativity and academic achievements. As their grade goes up, while the growth rates of using computer & smartphone and creativity were related positively, the growth rates of using computer & smartphone and academic achievements -even though it was not statistically significant- were related negatively. In addition, the first year students, who obtained high level of scores on the creativity, obtained high level of scores on academic achievements, but this tendency was not significant as their grade goes up.

• 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.

• Journal of the Korean Society of Physical Medicine
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• v.10 no.4
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• pp.15-23
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• 2015

PURPOSE: We aims to promote the development of proprioception measurement using smartphones, goniometers, and laser pointers as compared to the conventional use of electrogoniometer measurement. METHODS: Measurements using an electrogoniometer were previously proved to be reliabile and valid. Among E-university students, 20 who had no fracture, operation history, or inflammatory arthritis were examined. These subjects had not performed regular exercise in the past 3 months. Proprioception measurements were performed using four different measurement tools, three times per day, for test-retest analysis. RESULTS: No notable test-retest differences were noted for any of the measurement methods (P>0.05). With regard to the test-retest reliability for each measurement method, we observed that the readings from both the electrogoniometer and smartphone have high reliability (ICC>0.80), whereas the readings from the laser pointer have moderate reliability (ICC>0.60). When assessing the concurrent validity between electrogoniometers with individual measurements, we did not observe any notable difference between the smartphone and electrogoniometer (P>0.05) and these tools in fact showed high correlation (r>0.60, P<0.05) and a moderate reliability (ICC>0.60). Moreover, there was no notable difference in between electrogoniometers and laser pointers (P<0.05). CONCLUSION: CONCLUSION: The findings of this suggested that proprioception can be measured by using smart-phones, and proved that this method has sufficient credibility. Moreover, we noted that the concurrent validity with smartphones was high in comparison with the conventional electrogoniometer, which also indicates the validity and credibility. Based on these findings, we conclude that the measurement of proprioception by using a smartphone can be widely adopted.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.61-70
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• 2017

The aim of this study was to investigate the influence of stress coping style, relationship ability, and self-esteem on smartphone addiction in nursing students and to provide data for the development of intervention programs for smartphone addiction. The data were collected from 169 nursing students and analyzed with t-test, ANOVA and multiple regression by using SPSS 21.0 program. The smartphone addiction risk was shown to be 32%. Significant risk factors for smartphone addiction were problem focused coping style ( =-3.278, p=.031), hopeful prediction ( =.117, p=.044), circles presence ( =2.744 p=.019), motive for smartphone usage ( =-1.122 p=.003), and average daily using time ( =2.975 p=.000). These factors explained 43.6% of the variance in smartphone addiction. In conclusion, the results from this study suggest the need for the development of an intervention program for smartphone addiction, with consideration to the factors affecting smartphone addiction outlined in this study

• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.277-287
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• 2020

The purpose of this study was to investigate the standardization of daily average smartphone use time among adolescents. The data were analyzed using the data from Korea youth risk behavior web-based survey of 2017, and the total number of students analyzed was 54,603. Frequency analysis, independent t test, Pearson correlation analysis, and one-way ANOVA were used for statistical analysis. As a result, the correlation coefficient between smartphone use time, age, and grade was very low (r =.025~.039). There was no significant difference in the usage of smartphone between middle and high school students(p>.05). Time of smartphone use was significantly higher in middle school students as the grade increased(p<.05). In high school students, second-year students had significantly more smartphone usage than first and third grade students(p<.05). The researchers described 54603 adolescents' average(minute) daily smartphone usage about sex(male, female), period of use(weekday, weekend), school(middle school, high school), and grade(first, second, third) as a 7th quartile. We suggest that the standard value of smartphone use time can be used as a basis for the physical and mental health management in adolescents. It is necessary to present a standard value that can prove the future overuse of smartphone.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.2
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• pp.576-588
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• 2015

This study analyzed the influences of elementary students' usage of smartphone, computer and TV on academic attitude. Of the subjects residing in the U city to target of 10 elementary schools from the fourth grade to sixth grade, 865 students were sampled. This research made a frequency analysis and reliability analysis of the obtained date using SPSS 21.0 program were used. Research results are as follows. First, in the smartphone, computer and TV usage status of elementary school, smartphone, computer and TV were used the high frequency with which almost every commonly used, was found to be necessary to take advantage of the time to less than one hour a day, mostly alone, it has been found that a lot of online games, videos and SNS. Second, the use of smartphone, computer and TV were showed a significant effect on all sub-variables of open, self-concept, initiative, responsibility, learning enthusiasm, future orientation, creativity, self-assessment.

• Journal of the Korea Society of Computer and Information
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• v.17 no.8
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• pp.115-121
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• 2012

The main objective of this study was determine why employees conduct non-work related smartphone use at work. To do this, this study developed the research model of non-work related smartphone use behavior consisting of factors such as habit, intention, social effect, task interdependence, and behavior. And it was tested via a survey of employees using smartphones. The results of this study reveal, first, that habit and social influence are significant predictors of non-work related smartphone use behavior. Secondly, task interdependence has a positive moderating effect between intention and behavior in non-work related smartphone use.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1757-1772
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• 2020

As the smartphone market becomes saturated, an innovative device equipped with new features is expected to appear soon in mobile communications. In particular, various possibilities were raised regarding the alternative technologies that can develop post-smartphones, which are differentiated from the current smartphones, as Korea commercialized the 5G infrastructure for the first time in the world. Under these circumstances, the Korean government announced the "5G+ Strategy for Realizing Innovative Growth" in April 2019, vowing to build an innovative industrial ecosystem quickly while creating various convergence services based on the 5G infrastructure. As described above, the policy importance of the alternative technologies that will develop post-smartphones is increasing, but the theoretical study on the technology evolution of post-smartphones has not been systematically conducted until now. This study reviewed the alternative technologies that can develop post-smartphones through documentary research, and data mining analysis was performed on the research result using actual data. The policy priority was also set quantitatively for the alternative technologies of post-smartphones in order to determine the alternative post-smartphone technology that the government should focus on given the constraint of limited resources. As a results, autonomous vehicle(43.68%) was found to be most important, followed by artificial intelligence(17.4%) and Internet of Things(13.1%), among alternative technologies that could develop into the post-smartphone.

• Korean Journal of Applied Biomechanics
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• v.22 no.2
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• pp.253-259
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• 2012

The purpose of this study was to determine how smartphone use posture affects biomechanical variables and muscle activities. Eleven university students(age: $22.2{\pm}2.6$ yrs, height: $176.6{\pm}4.7$ cm, weight: $69.5{\pm}7.5$ kg) who have no musculoskeletal disorder were recruited as the subject according to having experience in using the smartphone for more than one year. Angular velocity, muscle activity, and thumb finger pressure were determined for each trial. For each dependent variable, a one-way analysis of variance (ANOVA) with repeated measures was performed to test if significant difference existed among different three conditions (p<.05). The result showed that rotational angular velocity of the first metacarpal were increased in DESK posture compared with STAND posture during SU phase. The average nEMG values of FDI(First dorsal interosseous) were less in SIT and DESK posture compared with STAND posture during SR phase. These indicated that smartphone postures may effect the thumb ROM(Range of motion) and muscle activity. This has led to suggestions of the need for further kinetic and EMG analyses to evaluate best assess and characterize with smartphone use.