• Journal of Digital Convergence
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• v.15 no.4
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• pp.443-449
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• 2017

Since usage of smartphone becomes popular, Ecology of smart media based on smartphone is creating new ecological system of information. This research is for evaluating usability and sustainability of application due to development of smartphone usage in these days. For the research, precedent researches were analyzed and hypothesis were set up based on those researches. Then, iCloud Calendar and Never Calendar, which are two major calendar applications, were evaluated by in-depth interview and measuring task performance time of interviewees, and used these results to verify hypothesis. Then verify hypothesis through the research and analyze which type of users focus on aesthetic impression, and which users focus on usability and practicality. This research is to analyze success and failure points of Calendar Applications' user experience design, and suggests guideline for future transformation of offline to online.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.22-31
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• 2012

A Smartphone is an intelligent device combined mobile phone and pc's support functions, and can perform multiple functions to satisfy the demands of users. It has excellent processing power and communication modules(DMB, Wi-Fi, Bluetooth, NFC etc) to carry out the demands of users. But continuous using of battery power on processor and equipped modules causes acceleration of battery consumption. This means that effective power management in devices like smartphone is important. Therefore, the management of power consumption on system execution and communication module is a serious issue in this field of study. In this paper, we would like to propose a communication module selection algorithm based on energy consumption parameter of each communication module and data transfer time. Our scheme automatically select appropriate communication system to reduce high energy consumption on bluetooth sleep mode so that this scheme is more efficient and effective thus improving user convenience in longer usage time. Experimental results showed the 20% energy saving.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.515-524
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• 2019

The purpose of this study was to investigate the influences of adolescents on self-rated health and happiness, physical activity, and mental health according to time of smartphone use. The researcher used raw data from the Korea youth risk-behavior web-based survey(2017). A total of 64,991 adolescents were enrolled and 54,603 were analyzed in logistic regression analysis. The researcher set gender, self-rated health and happiness, physical activity, and mental health as independent variables and performed logistic regression analysis with smartphone overuse time as dependent variables. As a result, the female had a smartphone overuse of 1.49 to 1.67 times higher than male. Subjectively healthy people were 1.2 to 1.35 times more likely to use smartphones than those who did not(p<.001). People with higher physical activity were higher by 1.17 to 1.18 times than people without physical activity(p<.001). Subjective happiness did not predict smartphone usage(p>.05). People with subjective stress were higher 1.13 to 1.22 times than people without stress, and person with sadness and despair and suicide plan, 1.37 to 1.54 times, 1.17 to 1.24 times than those who did not(p<.001). Depression tended to become more serious as smartphone use increased. These investigation suggest that the self-rated health, physical activity, and mental health excluding self-rated happiness are related to overuse of smartphone.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.93-99
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• 2014

This study aims to explore and analyze smartphone users' characteristics from the two perspectives (purchase vs. use characteristics) on the two operating systems (iOS and Android). The results of the study on purchase characteristics show that smartphones choice priority and the gender ratio are found to be significantly different between the two operating system users. However, the replacement cycle is not statistically different from iOS and Android users. The results of study on use characteristics show that the number of the applications and the registered SNS(social network service), the average monthly smartphone bill, and satisfaction are significantly different between iOS and Android users. However, the average Internet usage time is not different between the two operating system users. The findings provide useful implications for operating developers, smartphone manufacturers, and application developers.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.293-298
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• 2020

The purpose of this study is to confirm the use of smartphones by children aged 3 to 5 years old and to propose a plan for prevention of overdependence. To this end, the data of 909 people aged 3 to 5 years old were used in the study from the raw data of the '2019 Smartphone Overdependence Survey' conducted by the National Information Society Agency. The research results are as follows : Infants aged 3 to 5 were using their smartphone for an average of more than an hour a day, it was found that smartphones were used in the order of video services and games, listening to music, educational contents and search services. Parents were found to be tolerant of their children's smartphone usage time and dependence. In particular, despite the fact that most infants and toddlers use smartphones to watch videos and use game content, they are not concerned. Therefore, parental education content for the use of smartphones by infants and toddlers needs to include comprehensive content on media use.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.133-139
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• 2024

In response to the challenges posed by a super-aged society, local authorities are conducting educational programs on smartphone usage tailored for the elderly. However, obstacles such as the limitations of one-to-many education and suboptimal learning outcomes for the elderly have hindered the efficacy of smartphone education. This study suggests an educational service intended for direct application in offline settings, considering the identified problems. Through the utilization of generative AI, the proposed app identifies specific challenges encountered by users during actual smartphone use, offering personalized exercises to facilitate customized and repetitive learning experiences for individual users. When integrated with existing local government education initiatives, this app is anticipated to enhance the efficiency of smartphone education by providing personalized, one-on-one training that is efficient in terms of time and content.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.48-57
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• 2013

Smartphones provide users with environment for communication and sharing information and at the same time play an important role of mobile technology and mobile art development. Smartphone technology-related researches are being accelerated especially with the advent of mobile Augmented Reality(AR) age, but the studies on user participation that is essential for AR content industry were insufficient. In that regard, the assistance from mobile art area that has already developed these characteristics is essential. Thus, this article is to classify mobile art that has not been studied a lot domestically into feature phone usage and smartphone usage and to analyze each example case with the three most used methods. The usage of feature phones which use the sound and images of mobile devices can be divided into three: installation and performing methods, single channel video art method and five senses communication method. On the other hand, the usage of smartphones that use sensors, cameras, GPS and AR can be divided into location-based AR, marker-based AR and markerless AR. Also, as a result of examining mobile AR content utilization technology by industries, combined methods are utilized; tourism and game-related industries use location-based AR, education and medicine-related industries use marker-based AR, and shopping-related industries use markerless AR. The development of AR content industry is expected to be accelerated with mobile art that makes use of combined technology method and constant communication method through active participation of users. The future development direction of mobile AR industry is predicted to have minimized HMD, integration of hologram technology and artificial intelligence and make the most of big data and social network so that we could overcome the technological limitation of AR.

• 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

• 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 the Convergence on Culture Technology
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• v.9 no.6
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• pp.435-442
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• 2023

This study is a descriptive survey study to confirm the degree of depression, self-efficacy, life stress and smartphone addiction of nursing college students, and to identify their correlations and influencing factors. The study subjects had 15.85 points of depression, 3.19 points of self-efficacy, 2.47 points of life stress, and 39.23 points of smartphone addiction. As a result of analyzing smartphone addiction according to the general characteristics of the subjects, there was no statistically significant difference in grade and major, and there were significant differences in gender(t=-2.540, p=.014), grade(F=3.080, p=.029), smartphone importance(F=16.192, P<0.001), smartphone usage time (F=6.938, P<0.001). The subject's smartphone addiction showed a positive correlation with depression (r=.351, p<0.01), life stress (r=.321, p<.001), and self-efficacy (r=-.383, p<.001) showed a negative correlation. A negative correlation was found between depression and self-efficacy (r=-.529, p<.001), and a positive correlation was found between life stress (r=.568, p<.001). A negative correlation was found between self-efficacy and college life stress (r=-.434, p<.001). Self-efficacy appeared to be an influential factor in the subject's smartphone addiction. The goal is to provide basic data for programs and education to improve college students' self-efficacy.