• 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.

• Informatization Policy
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• v.21 no.4
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• pp.59-80
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• 2014

As usage of smartphone increases, it causes various social issues including smartphone addiction. This study, therefore, examined the impact of smartphone users' multitasking behaviors, satisfaction and flows on the smartphone addiction. Also, this research investigated the impacts of users' characteristics such as their polychronicity, innovativeness, and self-efficacy on their multitasking behaviors. The results of this study can be summarized as follows: users' polychronicity showed positive impact on their multitasking behaviors while innovativeness and self-efficacy did not. In addition, users' multitasking behaviors had significantly positive effects on satisfaction, flow and addiction. Users' satisfaction, however, did not show the direct impact on addiction while the positive impact on the flow, which in turn had direct effects on addiction. In sum, users' polychronicity and their multitasking behavior can be considered one of the most important predictors directly and indirectly through flow explaining smartphone addiction.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.175-184
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• 2016

The purpose of the study focuses on increasing dangers of using smartphones while driving recently, and then is to come up with measures to reduce traffic accidents caused by using devices like a smartphone. This study conducted a survey of drivers using their smartphones while driving to understand risks caused by using a smartphones while operating vehicles. Results showed that a lot of activities may lead to distracted driving, such as texting, making phone calls, using GPS or road maps, game, etc. In this paper, we presented that functions of smartphone should be controlled partially while driving for safe driving performance. These results suggest that using IoT-based smart devices like a beacon and a smartphone application implemented, tentatively called "Safe driving solution", while driving can reduce traffic accidents. Thus, in order to effectively prevent dangerous driving due to the use of smartphones, a "Safe driving solution" which restricts all functions except for calls and driver assistance functions is suggested.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.451-459
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• 2017

This study investigates the usage of smartphones in English listening activities. 71 students answered the 10-item questionnaire after doing listening activity using their own smartphone for one semester in the course of Practical English listening and reading. The findings show that listening activity done with smartphone enhanced students' interest in English listening and improved their English listening skills because smart phones made customized learning possible. However, the major limitation of using smart phone is that students are distracted during activity by smart phones' other functions such as SMS and messenger. To reduce such distraction, I suggest that individual listening activity with smart phones be mixed with instructor-led activity using a classroom computer in about 50 to 50 ratio. The ratio might vary depending on the level of students' English listening skills. These findings will make a contribution to the boost of digital convergence English learning.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.62-74
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• 2018

This study was proposed to examine the mediating effect of basic psychological needs on how parenting attitude affect middle school students with over-dependence on smart phone. This study utilized 2017 survey research by National Information Society Agency (NIA), namely a long-term follow-up study of 901 people with over-dependence on internet and smart phone. This study showed two findings. First, over-dependence on smart phone had correlations with basic psychological needs- autonomy(r=-.22, p<.001) and competence(r=-.13, p<.001); with parenting attitude- positive parenting(r=-.21, p<.001) and negative parenting(r=.15, p<.001). Second, both parenting attitude and basic psychological needs had a causal relationship with over-dependence on smart phone. These results can provide a basis to reconsider social awareness on over-dependence on smart phone among middle school students. This study proposed few research directions for further study to prevent over-dependence on smart phone and to educate parents.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.395-407
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• 2019

This study attempted to verify the structural model of the effects of stress, self-efficacy, and self-control on smartphone addiction in University students. The subjects of this study were 440 University students in G and P city. Results, First the most influential variables on smartphone addiction were self-control, followed by stress, and two variables explained explanation about smartphone addiction in 34%. Second, self-efficacy had a positive effect on self-control and stress had a negative effect. Both variables had an indirect effect on smartphone addiction through self-control. In groups less than 4 hours and above, there was a partial regulation effect because of differences between groups in the smartphone addiction pathway coefficients of stress and self-efficacy. Therefore, in order to reduce smartphone addiction, it is important to find ways to reduce stress and increase self-control and self-efficacy, and necessary to develop various programs and tailor educational interventions for each individual situation.

• TTA Journal
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• s.132
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• pp.38-43
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• 2010

• TTA Journal
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• s.128
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• pp.32-37
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• 2010

• Journal of Digital Convergence
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• v.15 no.7
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• pp.111-121
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• 2017

Smartphone use has become a part of everyday life, not only for adolescents but also for elderly and older people. Thus, this study explored the effect of demographic variables, the amount of smartphone usage, type of smartphone use and psychosocial variables on smartphone dependence of the elder group. We analyzed the data of 5627 (50s and 60s) of the Internet overdependence survey data of the Korea Information Society Agency in 2016. As a result of hierarchical multiple regression analysis, More frequency of smartphone use of weekday and weekend, and usage time of smartphone of weekday were related to greater smartphone dependence. More smartphone use for information seeking and games were associated with greater smartphone dependence. And, as loneliness and anxiety increased, smartphone dependence increased, while smartphone dependence decreased, as social capital increased. Through this study, it is necessary to understand characteristics related to smartphone dependence of elder and older group, and to use this knowledge to solve their smartphone dependence. Future studies also need to identify the causal relationship between predictors of smartphone dependence in elderly and older people.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2213-2221
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• 2015

The ondemand governor used in android-based smartphone platforms is a CPU frequency scaling technique. The ondemand governor sets the CPU operating frequency depending on the CPU utilization rate. Job scheduling affects the CPU utilization rate. The power consumption is proportional to the value of operating frequency. Consequently, CPU frequency scaling and CPU utilization rate have an effect on power consumption in a smartphone. In this paper, we evaluated the performance of job scheduling techniques incorporating the ondemand governor in terms of CPU utilization, power consumption, and job deadline miss ratio.