• Title/Summary/Keyword: 앱 사용

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An IAP Contents Protection Mechanism for Mobile Social Apps (모바일 소셜 앱의 IAP 컨텐츠 보호를 위한 메커니즘)

  • Cho, Eung-Jun;Hong, Choong-Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06d
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    • pp.268-270
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    • 2012
  • IAP (In App Purchase) 컨텐츠는 스마트 기기의 앱 내부에서 진행되는 컨텐츠 구매로 최근 앱 스토어의 주요 수입원으로 떠오르고 있다. 많은 앱 개발사들이 사용자들이 쉽게 앱을 접할 수 있도록 앱 자체는 무료로 판매하고 주요한 기능이나 추가적인 기능을 IAP를 통해서만 구입하여 사용할 수 있도록 유도하고 있다. 이런 방식을 통해 사용자가 불법으로 앱을 다운로드 하더라도 추가적인 기능이나 컨텐츠를 이용하기 위해서는 IAP를 사용하여 대가를 지불하도록 유도하는 것이다. 그러나 앱 자체가 클라이언트 기능만을 수행하는 경우는 문제가 없지만 full-time으로 서버와 동기화를 해가며 동작하는 방식이 아닌 앱의 경우 IAP를 불법적으로 해킹하여 취득하는 것이 가능하다. 본 논문에서는 이러한 불법적인 IAP 컨텐츠 획득을 방지하기 위하여 full-time으로 서버와 동기화를 하지 않으면서도 IAP 컨텐츠를 보호하기 위한 메커니즘을 제안한다.

A Study on the Effect of content and external elements purchase decision on the App (컨텐츠 정보와 외적인 요소가 앱 구매 결정에 미치는 영향 연구)

  • Kim, Jae-Hyun;Choi, Jin-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.708-711
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    • 2012
  • 스마트폰 시장이 급성장하면서, 앱스토어 시장도 급성장 하고 있다. 애플과 구글의 앱스토어는 각각 65 만개, 60 만개의 유효 앱 등록량을 돌파했으며, 다운로드 역시 300 억과 200 억 다운로드를 돌파하였다. 앱 사용자들은 어떤 이유로 수 많은 어플리케이션 중에서 특정 어플리케이션을 선택하고 다운받는지에 대한 연구는 많이 부족한 상황이다. 이에 본 연구는 컨텐츠 정보와 외적인 요인을 4가지 요소(앱의 정보, 외부 추천, 사용 평가, 사용 통계)로 분류하여 구매 결정에 영향을 미치는 요인을 찾고, 모바일 어플리케이션 스토어 시스템의 품질 개선과 추가로 국내에서 어플리케이션 스토어 시스템 구축을 진행하고 있는 사업자에게 실무적 도움을 제공할 수 있을 것이라 기대한다.

A Study on Promotion Strategy of Categorized Mobile Apps using Datamining (데이터마이닝을 이용한 모바일앱 구분 별 촉진 전략에 관한 연구)

  • Jeong, Tae-Seok;Shin, Yong-Jae;Yim, Myung-Seong
    • Journal of Digital Convergence
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    • v.10 no.5
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    • pp.339-349
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    • 2012
  • Smartphones which represent to the Mobile convergence, is the rapid spread, more than half of Korean are using. Accordingly, mobile apps that run on smartphone market is growing at a rapid pace. However, most studies on smartphone and mobile apps are focusing on the technology acceptance and improvement of function. So, this study is to suggest promotion strategy to each mobile apps, analyzed through three phases. First phase is the frequency analysis that deduct most frequently used mobile apps. Second phase is association rules that found to associate between mobile apps. Finally, to analyze deduction techniques for acquired 5 mobile apps to target variable in pre-2 phase use total 35 variables of 20 mobile apps categories, demographic variables, amount of PC, movie, music, book, game usage and fees per month.

Usability Evaluation of a Mobile App for Sexual Violence Survivors (성폭력 피해 경험자를 위한 모바일 앱 사용성 평가)

  • Lee, Jieha;Park, Young;Jung, Jai E.;Kim, Kihyun;Park, Jooyoung
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.700-711
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    • 2022
  • The purpose of this study is to evaluate the usability of the mobile app 'Allive' to improve accessibility to resources and mental health services among sexual violence survivors. Participants include survivors of sexual violence as well as service providers at sexual violence crisis intervention centers. The usability test was conducted as a quantitative and qualitative evaluation after study participants used the app in a real-life environment. The results of usability testing highlighted the positive and beneficial impact on mental health function as well as accessibility to essential resources for those who have experienced sexual violence.

Empirical Research on Types and Service Attributes of Mobile Donation Applications (모바일 기부 앱의 사용 의도에 영향을 미치는 요인에 관한 실증 연구)

  • Kim, Mingyung;Choi, Uiju;Choi, Boreum
    • Information Systems Review
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    • v.18 no.2
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    • pp.107-125
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    • 2016
  • With the rapid growth of the mobile application market, mobile donation applications have emerged as a new type of application that enables users to donate without actual payments. To date, limited research has been conducted to provide guidelines on how to design new types of mobile donation applications. Using cause-related marketing theory as theoretical framework, this study aims to identify the features of mobile donation applications that increase the intention of users to use such applications. To achieve this goal, we conducted two experiments. The results of an ANOVA test in the first experiment showed that indirect mobile donation applications (i.e., applications without actual payment) have a stronger positive effect on perceived effectiveness and cause involvement than direct mobile donation applications (i.e., applications with actual payment). In addition, perceived effectiveness and cause involvement yield positive effects on the intention to use mobile donation applications. The results of the second experiment showed that indirect mobile donation applications with utilitarian functions have a greater positive effect on perceived effectiveness and cause involvement than mobile donation applications with hedonic functions. These results contribute to mobile application and donation research as well as provide guidelines for practitioners on the design of mobile donation applications.

Characteristics of Smartphone User in Application Usage and Implications for Applications Business Model (스마트폰 사용자들의 앱 이용 특성과 앱 비즈니스 모델에의 시사)

  • Yun, Hyung Bo;Wang, Boram;Park, Jiyun
    • 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.

Improving application startup time by automatic profiling (Automatic Usage Profiling을 통한 초기 앱 실행 속도 개선 방법)

  • Chae, Hyangseok;Baik, Jongmoon
    • Journal of Software Engineering Society
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    • v.28 no.1
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    • pp.1-6
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    • 2019
  • Google released an initial version of Android that runs Dex(Dalvik Executable) through the Dalvik Runtime. Since Dalvik Runtime is based on interpreter, JIT(Just-in-time) compilation has been applied to improve performance. After Lollipop(Android 5.0) Dalvik Runtime has replaced with ART Runtime which support AOT (Ahead-of-time) compilation of Dex into Native Code. The late st Android has a problem that the application execution speed is slow until the AOT compilation is completed according to the actual usage record after the installation of the app. To improve the problem we have investigate the characteristics of profile that can improve the execution speed of the application and generate the profile automatically. Finally we propose a method that can optimize the application at install time. With the proposed method we can optimize selectively at install time and can help improving the execution speed of the app from the initial execution.

EFSM based Real-Time Detection GUI Bad Symptom on Mobile Application (EFSM 기반의 사용성 저해 요소 실시간 검출 기법)

  • Ma, Kyeong-Wook;Park, Soo-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1015-1018
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    • 2015
  • 모바일 디바이스가 기존이 PC 시장규모를 압도하면서 기하급수적으로 많은 모바일 앱이 출시되고 있다. 수많은 모바일 앱 중에서 사용자들은 배우기 쉽고, 직관적으로 사용하기에 용이한 모바일 앱을 선택하려는 경향을 보인다. 그러나 모바일 앱 사용성의 중요성이 증대됨에도 불구하고 모바일 앱에서의 사용성에 대한 연구는 미미한 실정이다. 현 GUI 사용성 테스트는 많은 시간이 소요되고 주관적인 평가에 의존하는 단점이 존재한다. 본 논문은 사용자들이 앱을 조작하는 터치 입력 데이터를 기반하여 EFSM(Extended Finite State Machine)에 인자를 추가한 형태로 모델링 후 개발자의 예상 시나리오와 비교하여 GUI 사용성 저해요소를 검출하는 기법을 제안하고 있다. 이와 같은 반-자동화된 방법을 통해 모바일 앱 상에서의 사용성을 측정할 수 있다. 제안된 기법을 구현한 도구의 구조를 설명하고 사용성 저해 요소 검출하는 과정을 기술하였다.

Study for Utility and Improvement of Mobile Applications for Diet and Dietary Life of College Students (대학생들의 다이어트와 식생활관련 모바일 앱 활용과 개선을 위한 연구)

  • Nam, Hae-Won;Myung, Choon-Ok;Park, Young-Sim
    • Journal of Digital Convergence
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    • v.16 no.7
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    • pp.231-241
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    • 2018
  • Free from limitations of time and space, diet management with smartphones can be highly useful for college students. This study aimed to improve the utility of diet related apps by efficacy and app evaluation after using the apps for 2 weeks. Results showed that the intent for continuing use apps was low, and the lack of efficacy indicated the currently developed apps had not significantly influenced their motivating healthy diet. Average app rating was $3.12{\pm}0.85$. Among 4 rating factors, convenience and contents were relatively higher than usefulness and community. Especially, there was significant difference in contents and convenience according to gender, contents and community according to BMI and previous diet experience. In the future, considering the needs and characteristics of college students, we need to find ways to enhance the usefulness of the app and to strengthen the social networking.

Analyzing App Resource Cache in the Android Operating System (안드로이드 앱 리소스 캐싱 시스템과 성능분석)

  • Kim, Tae Soon;Ahn, Woo Hyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.183-185
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    • 2016
  • 안드로이드 운영체제에서 앱과 시스템의 성능을 향상시키기 위해 효율적인 메모리 관리가 요구된다. 기존 연구는 앱 단위로 메모리를 관리하였으나 앱이 사용하는 이미지, 동영상과 같은 리소스를 저장하는 메모리 공간인 앱 리소스 캐시에 대한 분석이 없었다. 본 논문은 앱 리소스 캐시의 구조, 리소스 캐싱의 동작을 분석하고, 빈번히 접근되는 리소스의 캐싱이 앱과 시스템 성능에 어떠한 영향을 미치는지 분석한다.