• Journal of the Korean Society of Physical Medicine
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• v.11 no.2
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• pp.77-82
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• 2016

PURPOSE: The purpose of this study was to investigate the validity of dynamic balance measurements using a smartphone. METHODS: Thirty subjects were selected out of Y-university students without fractures, operation history, and inflammatory arthritis who had not started regular exercise during the past three months. Their dynamic balance ability was measured by the Biodex Balance System (Biodex Medical Systems, Inc., USA) using smartphones. The smartphone utilized in this study was the Galaxy Note4 LTE (SM-N910K, Samsung, Korea), and the application was the Sensor Kinetics pro (Ver.2.1.2, INNOVENTIONS Inc, US). The dynamic balance ability was measured in triplicate. RESULTS: With eyes closed, a low level of correlation (r>0.30, p<0.05) and low reliability (ICC>0.60) were determined between the roll value of the smartphone gyroscope versus the medial/lateral score of the Biodex Balance System. With eyes closed, a low level of correlation (r>0.30, p<0.05) and low reliability (ICC>0.60) were determined between the total value of the smartphone gyroscope versus the total score of the Biodex Balance System. CONCLUSION: This study indicated that using a smartphone can generate highly limited data regarding balance ability. They are unlikely to replace the existing more expensive devices entirely. However, smartphones may be highly useful in environments in which an expensive device is not available or when dynamic balance ability should be measured immediately or within a few hours.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.435-447
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• 2013

If we use a smartphone to analyze and detect falling, it is a huge advantage that the person with a sensor attached to one's body is free from awareness of difference and limitation of space, unlike attaching sensors on certain fixed areas. In this paper, we suggested effective posture analysis of smartphone users, and fall detecting system. Suggested algorithm enables to detect falling accurately by using the fact that instantaneous change of acceleration sensor is different according to user's posture. Since mobile applications working on smart phones are low in compatibility according to mobile platforms, it is a constraint that new development is needed which is suitable for sensor equipment's characteristics. In this paper, we suggested posture analysis algorithm using smartphones to solve the problems related to user's inconvenience and limitation of development according to sensor equipment's characteristics. Also, we developed fall detection system with the suggested algorithm, using hybrid mobile application which is not limited to platform.

• The Journal of Industrial Distribution & Business
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• v.9 no.12
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• pp.31-43
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• 2018

Purpose - Smartphone shopping malls provide customers with a variety of tangible and intangible services including web sites, web design, use convenience, information for products and shopping and various after services. Accordingly, it is needed to expand and classify service qualities based on the various services provided by smartphone shopping malls, and then analyze path structures of smartphone shopping malls' qualities → customer satisfaction → behavioral intention. The purpose of this study is to categorize the qualities of smartphone shopping mall users based on the e-SERVQUAL by Lee(2002) and the SERVQUAL by Parasuraman et al.(1988, 2005), the smartphone shopping malls' service qualities based on service quality of smartphone shopping malls used in the previous use studies, and the Website quality factors of service industry and to analyze path structure of smartphone shopping mall's qualities → customer satisfaction → behavioral intention on college students in order to confirm the system of smartphone shopping malls' qualities. Research design, data, and methodology - This study's survey was carried out on the college students of university located in northeastern of Seoul. It was from December 7 - 15, 2017, and a total of 240 questionnaires were distributed, with 228 collected. Of them, effective questionnaires used in the final study were a total of 201 except 27 that couldn't be used. In this study, empirical analysis was done with factor analysis, correlation analysis, multiple regression analysis, simple multiple regression analysis and moderating regression analysis by using Statistics Package SPSS18.0. Results - The study results are as follows: First, smartphone shopping malls' qualities were classified into six categories like customer system quality, Web design quality, convenience quality, information-offering quality, service quality, and product quality. Second, it showed that system quality, Web design quality, and information-offering quality had a positive impact on customer satisfaction, respectively. Third, it suggested that quality factors of smartphone shopping mall users had a positive impact on customer satisfaction in the order of quality, information-offering quality, system quality and Web design quality. Finally, it showed that customer service quality, product quality, and convenience quality did not have a positive impact on customer satisfaction. In addition, it said that customer satisfaction of smartphone shopping mall users had a positive impact on behavioral intention and thereby, the higher the customer satisfaction was, the higher the relations between reuse intention and recommendation intention were. Meanwhile, moderating regression analysis showed that trust did not have moderating effect in the relations between customer satisfaction and behavioral intention. The above study revealed that smartphone shopping malls' qualities were classified into six categories and it was possible to generalize after empirical analysis was made in the path structure. Conclusions - Smartphone shopping mall users consider usefulness of obtaining shopping information and quality on quick and abundant shopping information more important than access environment of smartphone shopping malls and kind services of smartphone shopping mall managers. Thereby, smartphone shopping mall marketers need to take service qualities like system quality and information-offering quality into more consideration.

• Child Health Nursing Research
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• v.24 no.4
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• pp.383-392
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• 2018

Purpose: The purpose of this study was to identify factors associated with smartphone overdependency in preschool children based on an analysis of mother, child, and their mutual dyadic relationships. Methods: Data were collected from 171 mothers of preschool children enrolled at daycare centers and kindergartens from January to March 2018. The data were analyzed by descriptive statistics, the t-test, analysis of variance with $Scheff{\acute{e}}$ post hoc test, Pearson correlation coefficient, and hierarchical regression analysis using SPSS version 24. Results: The self regulation of preschool children (${\beta}=-.358$, p<.001) was the factor most closely associated with smartphone overdependency. The second most closely associated factor was children's use of a smartphone 0.5-1 hour daily (${\beta}=-.249$, p=.005). Additional associated factors were mothers' use of a smartphone for 3-4 hours daily (${\beta}=.217$, p=.002), children's use of a smartphone for less than 0.5 hour daily (${\beta}=-.212$, p=.006), and children's use of a smartphone for 1-2 days per week (${\beta}=-.205$, p=.026). Conclusion: Based on the results of this study, it is necessary to try to develop guidelines and programs to prevent smart phone overdependency in preschool children.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.195-204
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• 2020

This research examines four specific objectives: (1) identifying factors that affect Vietnamese consumer attitudes towards smartphone advertising, (2) measuring the level of impact of the factors, (3) testing the difference of attitudes among groups of consumers with different characteristics in terms of gender, age, income, and academic level, and (4) proposing some managerial implications to have better Vietnamese consumer attitudes towards smartphone advertising. The study uses the online survey form via e-mail and Facebook in a convenience sampling method; the subjects surveyed are between the ages of 18 and 35, and all are in urban areas in Vietnam, and are using smartphones and accessing the internet and other phone applications. A sample of 490 respondents were valid and used for processing. The study employs a combination of qualitative and quantitative methods to analyze exploratory factors and linear multiple regression. The results reveal that there are five main factors affecting Vietnamese consumer attitudes towards smartphone advertising positively, arranged by reduced importance: entertainment, informativeness, credibility, non-irritation, permission and control. From that, the study offers some managerial suggestions for smartphone advertisers to improve their strategies and tatics to enhance their customer service, so that the smartphone advertising can attract people and help Vietnamese consumer in their buying behavior.

• Korean Journal of Biological Psychiatry
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• v.21 no.4
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• pp.161-167
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• 2014

Objectives This study aims to investigate possible associations between proneness toward smartphone addiction and certain psychopathological variables to evaluate the psychopathological meaning of smartphone addiction. Methods Questionnaires were assigned to 755 adults between September and November 2012. We used the Korean Smartphone Addiction Proneness Scale (SAPS), the Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), the Obsessive-Compulsive Inventory-Revised (OCI-R), and the Barratt Impulsivity Scale-11 (BIS-11). Subjects were classified into two groups according to the scores of the SAPS ; the addiction proneness group and the normal-user group. Results The addiction proneness group had significantly higher scores than the normal-user group in the BDI, BAI, OCI-R, and BIS-11. The scores of the SAPS were positively correlated with the scores of the BDI, BAI, OCI-R, and BIS-11. Using logistic regression analysis, smartphone addiction proneness showed a significant association with BIS-11. Conclusions The results of this study suggest that smartphone addiction proneness may be associated with depression, anxiety, obsessive-compulsive symptoms, and impulsivity. Furthermore, impulsivity could be a vulnerability marker for smartphone addiction proneness.

• Journal of Convergence Society for SMB
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• v.4 no.4
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• pp.13-18
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• 2014

The usage rate of user due to advances in smartphone development is higher than the usage rate to use a PC. However, smartphone usage popularized research to protect sensitive information, such as smart phone users personal information, financial information is a small state. In this paper, we analyzed the various vulnerabilities in smartphone studies to date have been looking into the corresponding port smart consumer dispute resolution methods and criteria for smartphone security attack methods and analysis. In particular, the threat of such a network, malware, Peep attack of the security threats arising from the smartphone they can avoid or mitigate threats to minimize the smartphone security damage is done to the disclosure of personal information, such as direct damage or financial loss the analysis of that method.

• Journal of Korean Public Health Nursing
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• v.32 no.3
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• pp.411-423
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• 2018

Purpose: This study was to form a healthy smartphone culture and serve as basic materials for developing smartphone addiction intervention program by understanding mental health and physical health of college students caused by smartphone addiction. Methods: The data collected from 261 college students at G and S city universities who understood the purpose of this study and consented to take part in the study were analyzed on mean, standard deviation, frequency, Chi square test and t-test using SPSS 20.0. Results: The result showed that the level of smartphone addiction was significantly different according to gender, age, type of college, satisfaction with college life and satisfaction with family life. The smartphone addiction risk group showed higher score in life stress, depression, social avoidance and distress than the general user group and the physical health was also higher in the risk group than the general user group. Conclusion: It is necessary to develop and apply customized intervention plan per each person's characteristics and level of addiction to prevent addiction and improve health condition from overuse of smartphone.

• Journal of information and communication convergence engineering
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• v.18 no.2
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• pp.75-81
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• 2020

Approximately 1.3 million people die from traffic accidents each year, and smartphone usage while driving is one of the main causes of such accidents. Therefore, detection of smartphone usage by drivers has become an important part of distracted driving detection. Previous studies have used single camera-based methods to collect the driver images. However, smartphone usage detection by employing a single camera can be unsuccessful if the driver occludes the phone. In this paper, we present a driver smartphone usage detection system that uses multiple cameras to collect driver images from different perspectives, and then processes these images with ensemble convolutional neural networks. The ensemble method comprises three individual convolutional neural networks with a simple voting system. Each network provides a distinct image perspective and the voting mechanism selects the final classification. Experimental results verified that the proposed method avoided the limitations observed in single camera-based methods, and achieved 98.96% accuracy on our dataset.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.1
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• pp.189-202
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• 2013

Recently, Smartphone is not only used as a communication medium, but also provide mobile service tool enabling game, internet surfing, DMB, navigation services, and so on. A lot of smartphone's applications are using for our daily lives. The purpose of this study was analyze affecting factors such as innovativeness, Self-Efficacy and Social-Influence on adoption behavior of smartphone application. This survey was carried out with university students. Data were obtained from 293 students who have smartphone. To Find difference among variables, exploratory factor analysis, t-test and multiple regression was carried out with collected data. Result shows that the distinction of sex is significantly difference in innovativeness and self-efficacy. And self-efficacy and social influence are significantly affect to smartpjone adoption. Therefore, self-efficacy and social influence are import consider factors to reconsider marketing strategy for smartphone business.