• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.239-247
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• 2013

This study is aimed to perform the qualitative evaluation based on the ARCS Model of educational mobile applications for smart phones. The evaluation has been performed targeting 60 students who attending the subject of informational education in 3 different universities in 2012 by allowing them to select the available educational mobile App installed in their smart phone. After, the level of persistent learning-intension from each student and the efficacy of ARCS motivational strategy was measured at learner's perspective. The structural equation model(SEM) was established and analyzed with PLS method to understand the relationship between the ARCS motivational strategy and the persistent learning-intension. The results of the study could be summarized as followings. First, the educational mobile App in various the motivational strategies showed different results that is the highest attention as well as the lowest satisfactory level. Second, the relevance in motivation strategies had the statistically significant effect in attention, confidence, and satisfaction. On the other hand, the other factors of attention, relevance, and confidence showed statistically significant effect in satisfaction. Finally, result demonstrate that the relevance is the critical factor inducing the significant effect in persistent learning-intension among the motivational strategies.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.111-118
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• 2015

Although the development of mobile devices are made us a free life, they were displayed the subject of this financial crime and attacking forces in the other side. Among finance-related crime is become a serious crime that are targeting smartphones by SMS phishing, phishing, pharming, voice phishing etc. In particular, SMS phishing is increased according to phenomenon using the nature of a text message in the mobile. SMS phishing is become new crime due to the burden to the smartphone user. Their crime is also the advanced way from the existing fraud, such as making the malicious apps. Especially it generates loopholes in the law by a method such as using a foreign server. For safe from SMS phishing attacks, proactive pre-diagnosis is even more important rather than post responses. It is necessary to deploy blocking programs for detecting SMS phishing attacks in advance to do this. In this paper we are investigating the process of block types and block apps that are currently deployed and presenting the evaluation of the application of the detection block setting app.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.99-106
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• 2024

In this paper, we design and implement the HealthSchedule app, which records exercise data based on the GPS sensor embedded in smartphones. This app utilizes the smartphone's GPS sensor to collect real-time location information of the user and displays the movement path to the designated destination. It records the user's actual path using latitude and longitude coordinates. Users register exercise activities and destination points when scheduling, and initiate the exercise. When measuring the current location, a lime green departure marker is generated, and the movement path is displayed in blue, with the destination marker and a surrounding 25-meter radius circle shown in sky blue. Using the coordinates of the starting point or the previous location and the current GPS sensor-transmitted location coordinates, it measures the distance traveled, time taken, and calculates the speed. Furthermore, it accumulates measurement data to provide information on the total distance traveled, movement path, and overall average speed. Even when reaching the destination during exercise, the movement path continues to accumulate until the completion button is clicked. The completion button is activated when the user moves into the sky blue circular area with a radius of 25 meters, centered around the initially set destination. This means that the user must reach the designated destination, and if they wish to continue exercising without clicking the completion button, they can do so. Depending on the selected exercise type, the app displays the calories burned, aiming to increase user engagement and a sense of accomplishment.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.1-12
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• 2015

In recent years, the privacy concern for mobile consumers is emerging as the use of mobile application(apps) is growing according to the rapid spread of mobile devices such as smart phones and tablet PCs. To improve privacy protections in the mobile communications and apps, overseas organizations are announcing guidelines and/or checklists for stake holders. Although personal information protection guidelines for application developers have been prepared in the country, efforts to improve consumer privacy capability is insufficient. Thus, in this paper we first scope the app privacy related guidelines in both domestic and foreign affairs, then present the risk factors of privacy invasion by the stage of mobile application use based on the "Privacy Protection Act", offering privacy checklists for consumers. This checklist will enhance the self-management capability of consumer privacy and create virtuous cycle in the mobile ecosystem.

• Korean Management Science Review
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• v.30 no.3
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• pp.33-54
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• 2013

The purpose of this study is to examine the relationships between Product Quality (Popularity, Playfulness) and Information Quality (Informativeness, Reliability), System Quality (Ease of Use, Security), Trust and Continuance Intention in Smart Phone Application Market. To identify these affecting relationships, the secondary data or past studies were collected and theoretically arranged. I made the theoretical proposed model to explain the relationships between the constructs, identify the operational definitions and 13 Hypotheses were established, there was executed the survey of 250 customers of Smart Phone Application Market. Using the collected data, previous performances to confirm the construct validity and internal consistency by Cronbach's a was executed and Partial Least Square Analysis to confirm the hypotheses in proposed model was conducted using the Smart-PLS Software. As the result of test that make the relations of used variables clear, we can get the conclusion as followings; First, Product Popularity has the positive effect on Informativeness, except reliability of Information. Second, it was significantly tested the effect on the Ease of use and Security by Product Playfulness. Third, Informativeness and Ease of Use, Security of App Store have the significantly positive effects on the Users' Trust directly. From the empirical test, I suggest the strategic advices in App Store Companies. To increase the Users' Continuance Intention or Loyalty, it would be developed that a variety of methods and ways to raise the Product Popularity and Playfulness, Informativeness, Ease of Use and Security of App Store. It is necessary for sticking the Users to raise the positive trust building and Continuance Intention.

• Journal of KIISE
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• v.41 no.9
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• pp.707-714
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• 2014

In general, the benign apps transmit privacy information to the external to provide service to users as the malicious app does. In other words, the behavior of benign apps is similar to the one of malicious apps. Thus, the benign app can be easily manipulated for malicious purposes. Therefore, the malicious apps as well as the benign apps should notify the users of the possibility of privacy information leakage before installation to prevent the potential malicious behavior. In this paper, We propose the method to detect leakage of privacy information on the android app by analyzing API inter-dependency and shortest distance. Also, we present LeakDroid which detects leakage of privacy information on Android with the above method. Unlike dynamic approaches, LeakDroid analyzes Android apps on market site. To verify the privacy information leakage detection of LeakDroid, we experimented the well-known 250 malicious apps and the 1700 benign apps collected from Android Third party market. Our evaluation result shows that LeakDroid reached detection rate of 96.4% in the malicious apps and detected 68 true privacy information leakages inside the 1700 benign apps.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.119-127
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• 2014

As the disclosure of privacy information has grown steadily, concerns about mobile services based on the personal information also increased. We aspired to reveal factors influencing the use of Location-Based services(LBS) App and analyse how the perceived risk affected between these factors and the use of LBS App. Results showed that usefulness and social influence influenced on the use of LBS App. We also found that the group who highly recognized the perceived risk was highly affected by usefulness and the group who lowly recognized the perceived risk was highly affected by social influence. Findings show that the company's strategy should be different depending on the level of consumers' perceived risk.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.179-186
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• 2018

Currently, apps that run point management systems can accumulate, use, and view points, but there are no apps that present gifts to other users or pay a Dutch fee for points. In addition, although the penetration rate of smartphones is increasing, it is inconvenient to put point-related cards into wallets rather than using apps. Of course, to run your app's services, It requires a lot of research and development, but it has the advantage of being convenient to customers. Therefore, the point app management system to be mentioned in this paper can alleviate user inconvenience and feel the convenience of point management. Point management The configuration of the app system allows you to launch an app using an Android device and manage the points of all services. You can also perform functions such as earning, using, and viewing points related to points.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.85-90
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• 2013

Currently, the electric fire prediction system uses PIC(Peripheral Interface Controller) for controller microprocessor. PIC has a slower computing speed than DSP does, so its real-time computing ability is inadequate. So with the basic characteristics waveform during arc generation as the standard reference, the comparison to this reference is used to predict and alarm electric fire from arc. While such alarm can be detected and taken care of from a remote central server, that prediction error rate is high and remote control in mobile environment is not available. In this article, the arc detection of time domain and frequency domain and wavelet-based adaptation algorithm executing the adaptation algorithm in conversion domain were applied to develop an electric fire prediction system loaded with new real-time arc detection algorithm using DSP. Also, remote control was made available through iPhone environment-based app development which enabled remote monitoring for arc's electric signal and power quality, and its utility was verified.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.137-145
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• 2015

Mobile's health care and diagnostic capabilities are accepted as the most innovative sectors, and the combination with wearable device is being predicted as the future's most promising industries. However, the level of consumer acceptance and utilization is still insufficient compared to the development of technology. This study explores the use intention of wearable device based on previous studies about health apps. In particular, health-related use efficacy of the app, app use intention and app satisfaction are analyzed through a structural equation model. The use of health-related apps revealed that there is a statistically significant relationship with the use of the wearable device. The results suggest that the importance of app use efficacy, satisfaction, apps use should be considered for the successful diffusion of wearable health devices.