• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.23-33
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• 2014

The smart phone are changing the way people communicate. And, the mobile app marketplace is greatly fast-growing. The app store continues its rapid growth, there are already more than 900,000 mobile apps on AppStore. We anticipate to see gained momentum throughout the business. Mobile is also becoming popular for marketers. Therefore, specialized app analysis systems are becoming important to how marketers and app developers invest, analyze and market their apps. App analysis systems enable users to discover and analyze behavior through data observations and meaningful patterns. In this paper, we introduce app analysis system and CMS System Open API, NugaLog. The NugaLog acquires users data and engages with them in a variety of ways. It will be essential for us to understand how users interact with and move through the app. The NugaLog will be able to see the number of users, smart phone model, smart phone OS, resolution, page views, and app version.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.58-73
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• 2022

The purpose of this study is to construct a predictable estimation model that reflects the relationship between the variables of mobile app performance and to verify how app reviews affect app performance. In study 1 and 2, the relationship between app performance indicators was derived using correlation analysis and random forest regression estimation of machine learning, and app performance estimation modeling was performed. In study 3, sentiment scores for app reviews were by using sentiment analysis of text mining, and it was found that app review sentiment scores have an effect one lag ahead of the number of daily installations of apps when using multivariate time series analysis. By analyzing the dissatisfaction and needs raised by app performance indicators and reviews of apps, companies can improve their apps in a timely manner and derive the timing and direction of marketing promotions.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.11-18
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• 2016

Due to open source policy, Android systems are exposed to a variety of security problems. In particular, app reuse attacks are detrimental threat to the Android system security. This is because attacker can create core malign components and quickly generate a bunch of malicious apps by reusing these components. Hence, it is very imperative to discern whether Android apps contain reused components. To meet this need, we propose an Android app reuse analysis technique based on the Sequential Hypothesis Testing. This technique quickly makes a decision with a few number of samples whether a set of Android apps is made through app reuse. We performed experimental study with 6 malicious app groups, 1 google and 1 third-party app group such that each group consists of 100 Android apps. Experimental results demonstrate that our proposed analysis technique efficiently judges Android app groups with reused components.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.173-182
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• 2020

The purpose of this paper is to study the influence of new service methods of "artificial intelligence (AI) + medical cosmetology", a new service means, on customers' purchase intentions. To AI medical beauty APP sales as an empirical study. This paper designed Likert seven scale to investigate, using SPSS 24.0 statistical analysis software and AMOS24.0 structural equation software to analyze the survey data. The analysis method uses reliability analysis, validity analysis, and construct equation model analysis. Through empirical research, the following results can be found, 1. The system quality of AI medical beauty app will have a positive impact on perceived usefulness and perceived ease of use. 2. The information quality of AI medical beauty app will have a positive impact on perceived ease of use and perceived usefulness. 3. The service quality of AI medical beauty app will have a positive impact on perceived ease of use and perceived usefulness 4. Consumers' perceived ease of use has a positive impact on perceived usefulness and purchase intention. 5. The usefulness of consumers' notification has a positive effect on purchase intention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.12
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• pp.6105-6110
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• 2012

Smart devices have made our daily life more intelligent and provided convenient life styles in which advanced interface and high speed LTE enable us to have proliferation of empirical Apps. This research has analyzed and evaluated Unstructured data from the users who experienced 'Hair Style Magic Mirror App' by focusing on emotional information. Further this study suggests some directions that the application development industry should take in the near future. The findings through Chi-Square analysis indicate that the application has not affected the overall satisfaction of the consumers; consumers received higher satisfaction in paid version of applications than free versions. Emotional Information analysis shows that users value the practicality of each application the most. Thus, the application developers should focus on practicality and sensitivity side corresponding to the demand of consumers.

• The Journal of Industrial Distribution & Business
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• v.10 no.9
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• pp.45-52
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• 2019

Purpose - This study examined the relationship between the priorities of information, usability, mobility, reliability and empathy, which are the lower dimensions of mobile tourism app service characteristics, on the perceived value and satisfaction of tourists. Research design, data, methodology - Data collection was conducted from June 10, 2019 to June 20, 2019, and a total of 500 questionnaires were distributed to collect 352 copies. Factor analysis, reliability verification, and covariance structure analysis were carried out using SPSS 23.0 and AMOS 23.0 for 321 parts for statistical analysis. Results - First, information, mobility, reliability, and empathy have a significant effect on perceived value. However, usefulness did not appear to have a significant effect on perceived value. This analysis results can increase the reliability of the tourism app, it can be seen that the accurate tourist information services are used in the tourist app or in the place required. Second, information, usability, mobility, and empathy had a significant effect on satisfaction. However, reliability did not have a significant effect on satisfaction. Third, perceived value had a significant effect on satisfaction. Fourth, it had a significant effect on information, empathy, and intention to use. However, the usefulness, mobility, and reliability did not have a significant effect on the behavioral intention. Lastly, perceived value and satisfaction had a significant effect on behavioral intention. Conclusions - The analysis result is that the tourism app that is being used is provided with a reliable and accurate tourism information service, it can be seen that you are using the tourism app in the place or on the go. Therefore, it is relatively difficult to use the tourism app, and it is easy to understand the contents of the service and timely information. Therefore, it is possible to communicate with other users and provide customized services according to needs and desires. The study has the following limitations. This may influence the progress of the research because the respondents' responses to the mobile tourism app service are from different experiences. In addition the accuracy of providing accurate information, the usefulness of using the mobile tourism app, and the ease of communicating with other users can be understood as being relatively satisfactory.

• Human Ecology Research
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• v.58 no.4
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• pp.613-633
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• 2020

This study identifies consumers' perceived benefits and costs when using Samsung Health (a healthcare app) based on consumer reviews from Google Play Store's app and social media discourse. We examine the differences in the benefits and the costs of Samsung Health using these two sources of data. We conducted text frequency analysis, clustering analysis, and semantic network analysis using R programming. The major findings are as follows. First, consumers experience benefits and costs on several functions of the app, such as step counting, device interlocking, information acquisition, and competition with global consumers. Second, the results of semantic network analysis showed that there were eight benefit factors and three cost factors. We also found that the three costs correspond to the benefits, indicating that some consumers gained benefits from certain functions while others gained costs from the same functions. Third, the comparison between consumer app review and social media discourse showed that the former is appropriate to assess the performance of app functions, while the latter is appropriate to examine how the app is used in daily life and how consumers feel about it. The current study suggests managerial implications to healthcare app service providers regarding what they should strengthen and improve to enhance consumers' satisfaction. It also suggests some implications from the two media, which can be mutually complementary, for researchers who study consumer opinions.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.127-139
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• 2014

This study presents a logging method to trace the usage patterns of existing smartphone apps. The actual smartphone app itself, not a specially developed similar app with usage logging, would be used best for the experiment of observing the usage patterns. For this purpose, we used a method of injecting logging codes into existing smartphone app. Using this method, we conducted an experiment to trace usage patterns of a commercial IPTV app, and found that the method is very useful for acquiring detail usage log without influencing participants.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1375-1380
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• 2021

Korea's security response to application service app is still insufficient due to the initial opening of the public safety network. Therefore, preemptive security measures are essential. In this study, we proposed to establish a 'public safety network app security system' to prevent potential vulnerabilities to the app store that distributes app in public safety network and android operating system that operate app on dedicated terminal devices. In order for an application service app to be listed on the public safety network mobile app store, a dataset of malicious and normal app is first established to extract characteristics and select the most effective AI model to perform static and dynamic analysis. According to the analysis results, 'Safety App Certificate' is certified for non-malicious app to secure reliability for listed apps. Ultimately, it minimizes the security blind spots of public safety network app. In addition, the safety of the network can be secured by supporting public safety application service of certified apps.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.107-113
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• 2021

In this paper, we conducted an empirical study to investigate whether Android app descriptions provide enough permission usages for measuring app quality in terms of human writing and consistency between code and descriptions. Android app descriptions are analyzed for various purposes such as quality measurement, functionality recommendation, and malware detection. However, many app descriptions do not disclose permission usages, whether accidentally or on purpose. Most importantly, the previous studies could not precisely analyze app descriptions if permission usages cannot be completely introduced in app descriptions. To assess the consistency between permissions and app descriptions, we implemented a state-of-the-art method to predict Android permissions for 29,270 app descriptions. As a result, 25% of app descriptions may not contain any permission semantic, and 57% of app descriptions cannot accurately reflect permission usages.