• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4711-4722
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• 2015

This study was performed to determine the smartphone addiction and it's association with various related factors such as sociodemographic characteristics, family life characteristics, school life characteristics, health related characteristics, psychosocial factors(self esteem, anxiety, locus of control) among the middle school students in rural areas. The self-administered questionnaire were given to 630 middle school students during the period from May 1st to 31th, 2014. As a result, the distribution of smartphone addiction group among all subjects was 24.1%, and smartphone addiction is so complicatedly influenced by various factors as well as sociodemographic characteristics, school life characteristics and health related characteristics, to a greater extent, by self esteem, anxiety and locus of control. Therefore the effective strategy for decrease of smartphone addiction among the middle school students requires the efforts to improve their psychosocial factors.

• 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 the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.599-604
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• 2019

This study examined how the characteristics of smartphone affect the functional performance of smartphones. In particular, this study focused on an understanding of the correlation between smartphone functional factors and usage habits. Functionality is defined as 11 kinds of functional elements. The characteristics of the smartphones were defined as the hardware characteristics and the user habits characteristics. Eighty subjects were organized to collect actual data by the smartphone function. The actual time required to perform each function was measured and observed five times for each functional element. Regression analysis was performed using Minitab ver.14 by classifying the measured values of the functional elements as dependent variables, the hardware characteristics collected through the questionnaire, and the user's usage habits as 12 independent variables. Overall, it is difficult to conclude that demographic and hardware characteristics of smartphone users have a significant effect on the performance. On the other hand, the variables related to smartphone usage habits have had a great impact on the performance of smartphone tasks, and as a result, the task execution time has increased. In simple input variables or viewing variables, the effects on usability was relatively small, but in all active variables, the execution time increased 10% - 30% in all tasks except for phone calls, seeking phone numbers, and dictionary search. Thus far, if the smartphone user interface has been provided uniformly in a large and simple manner, users with various usage habits can be utilized even if the input method and task processing method are more complicated and various interface types are provided.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.10
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• pp.1518-1523
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• 2012

In this study, the novel digital filtering algorithms are implemented to suppress the noisy characteristics embedded in ambulatory electrocardiogram signals by an android smartphone platform. With this aim, Graphical User Interface (GUI) is designed and implemented by utilizing multithread-Java programming to realize Finite Impulse Response and Infinite Impulse Response filter. With simulating our implemented digital filters built in an android smartphone, we can find the fact that we can efficiently suppresses the noisy characteristics due to baseline wandering and 60 Hz powerline source fluctuations especially in electrocardiograms.

• The Journal of Information Systems
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• v.23 no.4
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• pp.49-74
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• 2014

The introduction of smartphone caused the most revolutionary change in the domestic telecommunications market after the digital revolution. However, due to the saturation of the local market, it is expected to post negative growth in 2016 and the sales of national communication carriers is in stasis. Thus, the smartphone industry is starting to shift its marketing efforts to secure the silver generation who still has room for increase in the rate of smartphone usage. As the silver generation has physical limitations and differences in needs, the marketing strategy based on the smartphone utilization is not appropriate. This study suggests the new silver generation, who has high income level and similar characteristics to the younger generation, as the new customer segment for smartphone. We analyze the effects of the major variables of UTAUT on smartphone use, as well as examine how these relationships differ between the new silver and the net generation. We verified the hypotheses using a survey with 309 smartphone users. The research findings supported the hypotheses regarding the effects of performance expectancy, effort expectancy and facilitating conditions on smartphone use, but did not support the hypothesis on the effect of social influence. The result of the group comparisons showed that both generation have similar characteristics on innovativeness and cognitive absorption, but the moderating effect of age on performance expectancy, effort expectancy and use is stronger in conjunction with the new silver generation. The study results are expected to be used in establishing a marketing strategy for the new silver generation.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.293-309
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• 2022

Purpose - The purpose of this study is to explore the possibility of predicting the degree of smartphone overdependence based on mobile phone usage patterns. Design/methodology/approach - In this study, a survey conducted by Korea Internet and Security Agency(KISA) called "problematic smartphone use survey" was analyzed. The survey consists of 180 questions, and data were collected from 29,712 participants. Based on the data on the smartphone usage pattern obtained through the questionnaire, the smartphone addiction level was predicted using machine learning techniques. k-NN, gradient boosting, XGBoost, CatBoost, AdaBoost and random forest algorithms were employed. Findings - First, while various factors together influence the smartphone overdependence level, the results show that all machine learning techniques perform well to predict the smartphone overdependence level. Especially, we focus on the features which can be obtained from the smartphone log data (without psychological factors). It means that our results can be a basis for diagnostic programs to detect problematic smartphone use. Second, the results show that information on users' age, marriage and smartphone usage patterns can be used as predictors to determine whether users are addicted to smartphones. Other demographic characteristics such as sex or region did not appear to significantly affect smartphone overdependence levels. Research implications or Originality - While there are some studies that predict smartphone overdependence level using machine learning techniques, but the studies only present algorithm performance based on survey data. In this study, based on the information gain measure, questions that have more influence on the smartphone overdependence level are presented, and the performance of algorithms according to the questions is compared. Through the results of this study, it is shown that smartphone overdependence level can be predicted with less information if questions about smartphone use are given appropriately.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.32-42
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• 2013

As the smartphone market grows, the needs for its new business model are also increased. However, most previous researches on smartphone applications focused on Technology Acceptance Model(TAM) and Rogers' Diffusion of Innovation Theory so that there was lack of researches on characteristics for actual smartphone users. In this research, we divided the smartphone applications into five category functions (Call & Text/Music & Video/Information Search/Game/Social Network Service (SNS)). We analyzed characteristic differences of users who used the each application category and found that the differences were statistically significant in both demographic and smartphone usage characteristics (frequency of downloading applications, and download experience of paid applications). Additionally, the smartphone usage characteristic is closely related to the usage duration. The representative result is that the characteristics of people used Music & Video function actively were women in their 20s who downloaded applications more than three times per week, and had a download experience of paid applications. It is positive result for players in the application markets, because it means the users are willing to pay for downloading the paid applications. However, large companies already occupied most of the market share in music applications so that small and medium-sized players should develop an innovative and distinguishable business model in order to success. We believe this research result would provide significant implications for the players in planning the successful business model and developing an user-specific application product.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.39-50
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• 2017

This study examined what leads to smartphone addiction by looking into personal, environmental, and smartphone characteristics, to identify their influences on the degree of addiction and changes in daily life. Therefore, surveys were conducted on college undergraduates, who get easily addicted to smartphones The study hypotheses were evaluated through a structural equation model on a total of 370 collected survey questionnaires Findings revealed: first, with reference to personal characteristics, the more competent and highly related one is, the more negatively influenced one is in getting addicted to smartphones. Second, as for environmental characteristics, the bigger the social impact is, the more positively influenced one is on smartphone addiction. Third, among the characteristics of a smartphone, the ubiquity showed a positive influence on smartphone addiction. Lastly, the degree to which one is addicted to a smartphone has(either positive or negative) on the changes in one's daily life. These results are not intended to blindly inhibit smartphone use by highlighting the negative aspects of smartphones, but are expected to serve as basic data to develop a preventative and remedial program based on the degree of smartphone addiction.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.7
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• pp.592-598
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• 2013

In this paper, a small, lightweight smartphone-controlled riding robot is developed. Also, in this study, a smartphone with a jog shuttle mode for consideration of user convenience is proposed to make a small, lightweight riding robot. As well, a compass sensor is used to compensate for the mechanical characteristics of motors mounted on the riding robot. The riding robot is controlled by the interface of a drag-based jog shuttle in the smartphone, instead of a mechanical controller. For a personal riding robot, if the smartphone is used as a controller instead of a handle or a pole, it reduces its size, weight, and cost to a great extent. Thus, the riding robot can be used in indoor spaces such as offices for moving or a train or bus station and an airport for scouting, or hospital for disabilities. Experimental results show that the riding robot is easily and conveniently controlled by the proposed smartphone interface based on Android.

• Journal of Family Relations
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• v.22 no.4
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• pp.157-179
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• 2018

Objectives: This study aimed to examine the relationship between Chinese adolescents' academic performance and smartphone overdependence as well as the moderating effects of parental involvement. Method: For this study, a survey was conducted with 472 adolescent students in three middle schools (n = 224) and three high schools (n = 248) in Shanghai, China. The survey consisted of the "S-Scale for Smartphone Addiction," the "Parental Involvement Scale," and questions regarding perceived academic performance using a demographic questionnaire. Results: The following are the major findings. First, after controlling for the students' demographic characteristics, hierarchical multiple regression analysis revealed that the students' perceived academic performance was negatively related to the levels of smartphone overdependence. Second, this study found significant moderation effects of parental involvement on the relationship between academic performance and smartphone overdependence. Chinese adolescents with low levels of perceived academic performance and high levels of perceived parental involvement showed high levels of smartphone overdependence. Finally, this study found significant moderation effects of parental involvement on the relationship between academic performance and smartphone overdependence only in middle-school students. Conclusions: These results indicate the need for healthy smartphone use and education and therapy programs for Chinese parents and adolescent children to prevent smartphone overdependence.