• Title/Summary/Keyword: Smartphone Applications

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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.

Battery-Aware Data Transmission for Delay-Tolerant Smartphone Applications (지연 허용 스마트폰 어플리케이션을 위한 배터리 인지 데이터 전송)

  • Choi, Okyoung;Chong, Song
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.9
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    • pp.1054-1056
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    • 2016
  • As energy consumptions of smartphone increase, many smartphone users suffer from the lack of energy. Thus, many researches have been studied to save energy consumed in smartphone. To avoid inconvenience from the battery depletion, we first propose a remaining energy prediction model derived from the analysis on energy consumption pattern. Based on the model, we propose the energy efficient data transmission method for delay-tolerant applications.

Use of Smartphone Applications for Satisfying Information Needs of Youth (청소년의 정보요구 해결을 위한 스마트폰 어플리케이션 이용행태)

  • Lee, SeungMin;Lee, Jongwook
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.28 no.3
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    • pp.175-196
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    • 2017
  • The number of youth smartphone users has been increasing, and they use smartphone applications to satisfy their various types of information needs. Nevertheless, few researchers have addressed youth information behavior on applications. In this study, the author examined the application use behavior of youth in response to their work- and everyday life- information needs. The author collected 114 completed questionnaires from students enrolled in a middle school and a high school. The survey results show that participants' usage and perception of smartphone applications were high, and they were using information, entertainment, and communication applications to meet their information needs. In particular, their preference for application use differed by the type of information needs. Also, participants were considering cost, easiness, privacy policy, review, information quality, providers, interface design, and recommendation to choose applications. This study confirms the role of smartphone applications as an influential information source, and it also provides useful implications for educators and for application developers.

The Effects of the Perceived Qualities of Systems, Information, and Service on Individual Performance in a Smartphone Application Context (지각된 시스템과, 정보, 서비스 품질이 사용자별 스마트폰 애플리케이션 이용성과에 미치는 영향)

  • Jung, Wonjin;Kim, Taehwan
    • International Commerce and Information Review
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    • v.18 no.1
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    • pp.209-233
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    • 2016
  • Today's mobile devices including smartphones are gradually taking a prominent position in many areas as portable multimedia computers and establishing a new computing paradigm. Nevertheless, it would not be easy for smartphone applications to provide users with a high level of usability under the current environment due to the physical hardware characteristics of each smartphone, which are expected to have a negative impact on the qualities of system, information, and service that smartphone applications provide. Thus, this study examined: 1) the effects of the perceived qualities of system, information, and service of smartphone applications on the perceived usability of the applications, and 2) the effect of the usability on users' individual performance with the given application. A survey was conducted and structural equation modeling (SEM) was used to analyze the data. This study found that there are significant effects of the perceived qualities of system, information, and service of smartphone applications on the perceived usability of the applications. In addition, this study also found a significant effect of the usability of samrtphone applications on the individual performance with the application.

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Analysis on the Power Efficiency of Smartphone According to Parameters (스마트폰의 구성 변수에 따른 전력 효율성 분석)

  • Son, Dong-Oh;Kim, Jong-Myon;Kim, Cheol-Hong
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.1-8
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    • 2013
  • Smartphone enables diverse applications to be used in mobile environments. In spite of the high performance of smartphones, battery life has become one of the major constraints in mobility. Therefore, power efficiency of the smartphone is one of the most important factors in determining the efficiency of the smartphone. In this paper, in order to analyze the power efficiency of the smartphone, we have various experiments according to several configuration parameters such as processor, display and OS. We also use diverse applications. As a result, power consumption is dependent on the processor complexity and display size. However, power consumption shows the unpredictable pattern according to the OS. Smartphone using android OS consumes high power when internet and image processing applications are executed, but It consumes low power when music and camera applications are executed. In contrary, smartphone based on iOS consumes high power when game and internet applications are executed but it consumes low power when camera and processing applications are executed. In general, smartphone using iOS is more power efficient than smartphone based on android OS, because smartphone using iOS is optimized in the perspective of the hardware and OS.

Architecture Support for Context-aware Adaptation of Rich Sensing Smartphone Applications

  • Meng, Zhaozong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.248-268
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    • 2018
  • The performance of smartphone applications are usually constrained in user interactions due to resource limitation and it promises great opportunities to improve the performance by exploring the smartphone built-in and embedded sensing techniques. However, heterogeneity in techniques, semantic gap between sensor data and usable context, and complexity of contextual situations keep the techniques from seamless integration. Relevant studies mainly focus on feasibility demonstration of emerging sensing techniques, which rarely address both general architectures and comprehensive technical solutions. Based on a proposed functional model, this investigation provides a general architecture to deal with the dynamic context for context-aware automation and decision support. In order to take advantage of the built-in sensors to improve the performance of mobile applications, an ontology-based method is employed for context modelling, linguistic variables are used for heterogeneous context presentation, and semantic distance-based rule matching is employed to customise functions to the contextual situations. A case study on mobile application authentication is conducted with smartphone built-in hardware modules. The results demonstrate the feasibility of the proposed solutions and their effectiveness in improving operational efficiency.

Influencing Factors on Consumers' Smartphone Adoption

  • Park, Mi-Youn;Sun, Zhenbao;Hwang, Kum-Ju;Lee, Il-Han
    • Journal of Information Technology Applications and Management
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    • v.19 no.2
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    • pp.17-38
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    • 2012
  • The purpose of this study is to investigate the research model attempting to explain factors influencing consumers' attitude towards Smartphone adoption and behavioral intention to use a Smartphone. The 357 sets of data are tested against the model using SEM (structural equation model). The research results reveal that organizational and social influences, consumers' self-actualization, and trust affect consumers' attitude towards Smartphone adoption, and behavioral control influences behavioral intention. Implications of the findings suggest that Smartphone should be approached with a holistic view, suggesting that Smartphone research should emphasize Smartphone as a convergent device including both hardware and software with services and applications. Research results are discussed, and limitations of the current study and future research are presented.

A Study on the Configuration of Pre-install Applications on Smartphone for Customer Needs (고객 중심의 스마트폰 선탑재 앱 구성방안에 관한 연구)

  • Yeon, Bo Huem;Kang, Won Young;Choi, Seong Jhin
    • Journal of Broadcast Engineering
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    • v.24 no.1
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    • pp.105-117
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    • 2019
  • Current Android smartphones include about 25 to 35 essential applications(unerasable) related to function and operation of the android smartphone itself and about 30 optional applications(removable) provided by carriers, Google and manufacturers. These applications were not able to be removed until the announcement of the smartphone applications pre-install guide from the government in January 2014, so there were memory limitations in installing new applications, causing consumer complaints by consuming data during the auto-update process of the pre-installed applications. After the announcement, we were able to delete optional applications but the complaints about the data consumption still did not disappear. Therefore, in this paper, we carried out the customer survey and analyzed the behavior information such as how carriers are operating pre-installed applications and what kind of applications customer prefers and how many applications customer wants to be pre-installed. And we proposed how to configure pre-install applications on smartphone for customer needs.

A Study on the Effects of Customers' Smartphone Use on their Waiting Experience and Service Quality Evaluation (스마트폰 사용이 고객의 대기경험 및 서비스 품질 평가에 미치는 영향에 대한 연구)

  • Jeong, Jun Hyeong;Lee, Jong-Oh;Lee, Sunro
    • Journal of Information Technology Applications and Management
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    • v.21 no.4
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    • pp.15-33
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    • 2014
  • Recently, the service providers are making various attempts to provide smartphone applications for waiting information in order for customers to perceive waiting time short. This research, therefore, investigates the impact of smartphone use on the waiting experience and provide service organizations with effective measures for managing customers' waiting. As a result of this study, utilization of smartphone during the waiting period shows the positive impact on perceived waiting time, acceptability, and emotional response. Among these, the largest impact appears on the acceptability of waiting that has the largest impact on the perceived service quality. In addition, results reveal that smartphone users shows more positive waiting experience than non-users who read newspapers or magazines, watch TV, or do nothing.

Analyzing Input Patterns of Smartphone Applications in Touch Interfaces

  • Bahn, Hyokyung;Kim, Jisun
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.30-37
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    • 2021
  • Touch sensor interface has become the most useful input device in a smartphone. Unlike keypad/keyboard interfaces used in electronic dictionaries and feature phones, smartphone's touch interfaces allow for the recognition of various gestures that represent distinct features of each application's input. In this paper, we analyze application-specific input patterns that appear in smartphone's touch interfaces. Specifically, we capture touch input patterns from various Android applications, and analyze them. Based on this analysis, we observe a certain unique characteristics of application's touch input patterns. This can be utilized in various useful areas like user authentications, prevention of executing application by illegal users, or digital forensic based on logged touch patterns.