• Title/Summary/Keyword: smartphone

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Design and Implementation of a Smartphone Application for Loss Prevention with Precautionary Functions (예방 기능을 갖춘 스마트폰 분실방지 애플리케이션의 설계 및 구현)

  • Koh, Jeong Gook
    • Journal of Korea Multimedia Society
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    • v.17 no.9
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    • pp.1098-1103
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    • 2014
  • Smartphone is very much ingrained into our lives and it has propagated rapidly. With the growing expansion of smartphone, the number of lost smartphones has proliferated all the while. Unlike common personal belongings, smartphone is a high-priced goods and has personal information. In case it gets lost or stolen, it will cause monetary damage as well as secondary damage of personal information leaks. To lesson the damage, diverse applications that prevent the loss of a smartphone have been developed. But existing applications place emphasis on providing countermeasures that tracks the missing smartphones. Therefore, this paper describes the design and implementation of a smartphone application which provides precautionary functions to prevent the loss of a smartphone and countermeasures to track the missing smartphone. The implemented application prevents the loss of a smartphone using satefy zone and movement detection. In the event we lose a smartphone, it helps us recover a lost property using location tracking and remote control functions quickly and efficiently.

Application of Machine Learning Techniques for Problematic Smartphone Use (스마트폰 과의존 판별을 위한 기계 학습 기법의 응용)

  • Kim, Woo-sung;Han, Jun-hee
    • 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 Study on the security of Smartphone (스마트폰 보안 기술 분석)

  • Lee, Young Sook;Kim, Jee Yeon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.2
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    • pp.91-105
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    • 2010
  • With the release Apple's iPhone, smartphone is enjoying a tremendous popularity. Security experts pointed the smartphone security risks and KCC(Korea Communications Commission) published safety rules for smartphone users. In this paper we surveyed market and product trends of smartphone and analyzed the security technology of smartphoen OS including Symbian, iPhone OS, Windows Mobile and Android.

Smartphone Use Patterns of Smartphone-dependent Children

  • Park, Jeong Hye
    • Child Health Nursing Research
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    • v.26 no.1
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    • pp.47-54
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    • 2020
  • Purpose: The purpose of this study was to identify the smartphone use patterns of smartphone-dependent children. Methods: The study design was a cross-sectional descriptive study. The data were derived from the 2017 survey on smartphone over-dependence conducted by the Ministry of Science and ICT and the National Information Society Agency. The study sample was 595 elementary school students identified as being smartphone-dependent. The data were analyzed by frequency, percentage, mean, standard deviation, the independent t-test, the x2 test, the Pearson correlation coefficient, and multiple regression analysis. Results: The frequency of smartphone use was the factor strongly associated with more severe smartphone dependence in participants. Games were the most commonly used application type among participants, regardless of their degree of dependence. More severe smartphone dependence was associated with greater use of applications such as learning and television/video. Conclusion: As smartphone dependence becomes more severe, children tend to use their smartphones more frequently and to use applications that involve solitary play for the purposes of entertainment and pleasure. The findings suggest that the parents should attentively monitor their children's smartphone use patterns and provide consistent discipline in a way that ensures appropriate smartphone use.

A Study on Users' Intention to Use Considering Service Quality of Smartphone Banking (스마트폰 뱅킹 서비스 품질을 고려한 사용자 이용의도에 관한 연구)

  • Noh, Mijin;Hwangbo, Choong
    • The Journal of Information Systems
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    • v.25 no.1
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    • pp.105-134
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    • 2016
  • Purpose First, this study examines the relationship between characteristics of smartphone banking and trust of smartphone banking. Second, this study investigates the impact of perceived benefit on the trust and usage intention of smartphone banking. Finally, this study considers moderating effect of service quality in the relationships between perceived benefit and trust and usage intention of smartphone-based mobile banking. Design/methodology/approach This research uses the survey method to test its hypotheses, the survey population is smartphone baking users. A software tool called AMOS 17.0 used to analyze the research model. Findings The results showed that characteristics of smartphone banking channel like compatibility, timeliness, and mobility had a positive effect on the trust of smartphone banking. The device familiarity showed a significant positive impact on trust of smartphone banking. While the service quality moderated the relationship between trust and usage intention of smartphone banking, moderating effect of service quality in the relationship between perceived benefit and its usage intention was not significant. The results of this study could provide a theoretical framework to explain customers' decision of smartphone banking and practical implications for banking venders.

Influence of Smartphone usage Types and Excessive Expectation for Smartphone on Adolescents' Smartphone Overdependence (스마트폰 사용유형과 스마트폰에 대한 과도한 기대가 청소년의 스마트폰 과의존에 미치는 영향)

  • Bae, Sung-Man
    • Informatization Policy
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    • v.25 no.4
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    • pp.65-83
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    • 2018
  • This study examined the effects of smartphone usage types and excessive expectation for smartphone on adolescents' smartphone overdependence. It utilized the data of 3,454 adolescents (1,758 males and 1,696 females), aged between 13 and 19 from a smartphone overdependence survey of the National Information Society Agency. As a result of the hierarchical multiple regression analysis, age and household income had a negative effect on smartphone overdependence. Weekly smartphone usage time positively affected the serious consequences (sub-factor of smartphone overdependence). Among the different types of smartphone usage, information seeking, SNS, gaming, and the excessive expectation for smartphones had positive impact on smartphone overdependence. Smartphone usage for leisure seeking did not affect smartphone overdependence, but it negatively influenced serious consequences. Messenger use did not affect smartphone overdependence, but the use had a positive effect on salience, and a negative effect on serious consequences. The results of this study suggest that it is necessary to identify the types of smartphone use as well as the usage time to understand the smartphone dependence of adolescents. In addition, it seems necessary to recognize and correct the irrational excessive expectation for smartphone in order to prevent dependence and implement effective interventions.

The Research of Security Vulnerabilities of Smartphone (스마트폰 보안 취약 요소에 따른 분석 연구)

  • Choi, Hee Sik;Cho, Yang Hyun;Joo, Heon Sik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.3
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    • pp.119-127
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    • 2013
  • The merits of Smartphone are portability, convenience and especially a lot of information can be stored in the device. Especially in Smartphone, users can install programs that cannot install to normal cell phone and users can use many different services through these Smartphone programs. Also Smartphone can connect to Internet through network, so it can access information anytime, anywhere easily. Security of personal information and variety of information which stored in Smartphone are in risk. In Chapter 2 of thesis, it will discuss the definition and features of the Smartphone and market trends. In Chapter 3 of thesis, it will discuss security vulnerabilities of Smartphone and it will analyze and research security vulnerabilities of Smartphone in Chapter 4. In conclusion, it will check users' identification twice in useful application especially application that relate to finance and mobile payment. By checking users' identification several times, it will help to defend from security threats. Users can use Smartphone safely and convenience by know how to prevent from mobile hacking for personal and private information. the quality of APIs matching by the clustering and hierarchical relationships mechanism.

Changes in the Pelvic Posture and Low Back Pressure Pain Threshold in Response to Smartphone Use in the Sitting Position: A Cross-sectional Study (앉은 자세에서 스마트폰 사용에 따른 골반 자세 및 허리 압력통증역치의 변화: 단면 연구)

  • Dae-Hee Lee;Hye-Joo Jeon
    • Journal of the Korean Society of Physical Medicine
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    • v.18 no.3
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    • pp.113-119
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    • 2023
  • PURPOSE: This study aimed to determine the effects of using a smartphone in the sitting position on the pelvic posture and the low back pressure pain threshold (PPT). METHODS: Thirty participants (15 women and 15 men) were recruited for this study. The participants were asked to sit in a normal sitting position without using a smartphone, followed by sitting while watching a video using a smartphone. The pelvic posture was measured using the back range of motion II (BROM II) device and a palpation meter. We measured PPT using the digital pressure algometer. RESULTS: Pelvic posterior tilting was significantly greater when sitting while using a smartphone relative to sitting without using a smartphone (p < .05). There was no significant difference in the height of the iliac crest when sitting while using a smartphone compared to sitting without using a smartphone (p > .05). The PPTs of L1, L3, and L5 were significantly lower when sitting while using a smartphone relative to sitting without using a smartphone (p < .05). CONCLUSION: Based on these results, it can be concluded that frequent smartphone use while sitting may potentially increase the risk of developing low back problems.

Effect of the Smartphone Usage by Elementary Schoolers on Their Creative Personality (초등학생의 스마트폰 사용실태가 창의적 인성에 미치는 영향)

  • Park, Sunju
    • Journal of The Korean Association of Information Education
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    • v.18 no.4
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    • pp.567-574
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    • 2014
  • This paper is about an analysis of the result of the survey which is how the use of smartphone affects the creative personality, focused on 4th and 6th grade in Elementary school, by smartphone addiction self-diagnosis and creative personality test. As a result of the analysis, 6th graders were influenced by their possession of smartphone and the degree of one's smartphone addiction on their creative personality. However, the usage period of smartphone did not turn out to affect their creative personality. In addition, none of the factors above, related to students' smartphone usage, influenced the creative personality of 4th graders. Particularly, there was a negative correlation between the level of students' smartphone addiction and the creative personality and it was found that whether the students own a smartphone or not played a crucial role in creative personality rather than the usage period of smartphone. Therefore, students should be properly educated how to use smartphone appropriately and to prevent them from smartphone addiction in order to improve creative personality which is one of the core competences in 21st century.

Factors Affecting Smartphone Dependency and Digital Dementia

  • Ahn, Joong-Seok;Jun, Hyo-Jung;Kim, Tae-Sung
    • Journal of Information Technology Applications and Management
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    • v.22 no.3
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    • pp.35-54
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    • 2015
  • Smartphone is affecting not only our everyday life but also our business, directly causing diverse side-effects. But up until now, many researches that have been conducted on smartphone were focused on continuance intention for smartphone use and user satisfaction. Thus, the objective of this research is to investigate the effects that smartphone dependency has on digital dementia which is one of negative effects of smartphone. For the purpose, we have reviewed studies that are related to perceived characteristics of existing smartphones. As perceived characteristics variables, we have adopted perceived ease of use and perceived usefulness. And to present our research model, we have adopted smartphone dependency as psychological attitude variable and digital dementia as consequence variable. To implement an empirical analysis of our research model, we have conducted a survey with college student groups as research target who use smartphone most.