• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.496-498
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• 2013

Smartphone is becoming popular from younger generation to old generation because of its convenience. Generalizing use of smartphone, it was being developed and released for education application from based on PC to smartphone. in this paper, this application was designed and developed an helpful and enjoyable application for those who very interested child education. in this paper, suggestion of the propose of education is provided on service various contetns. The children can do implement information about organism characters living in sea just selected them they want without going to sea and aquarium whenever they want. this application is implemented that children also can be relearning the organism characters by quiz that already learned them before, and developing artistic sense, creativity and imagination by coloring exercise.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.1
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• pp.143-156
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• 2011

Mobile & Telecommunication industry have been improved in recent years, many different and different shape devices have been introduced and relative services also consistently have been developed as well. Mobile users also demand new service and diverse contents different from vice oriented services and its quality improvement. Recently Smartphone has shown up and changed Mobile & Telecommunication industry and lead activating the industry. Particularly Smartphone users enjoy many different functions and service provided by Application Market. Actually this Application Market would lead improving Mobile& Telecommunication industry. This fact is worthy of notice. Therefore This study focus on Application Market and analyse what determinants affect user's intention to use Application Market. Mainly e-Servqual and TAM model are applied and research model was established and empirically tested. As a result information, transaction and design quality significantly effect on user's intention and perceived usefulness and easy of use also significantly more effect on user's intention. There will be several implications to establish strategy for application market based on this results.

• 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.

• Journal of Biomedical Engineering Research
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• v.35 no.5
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• pp.111-118
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• 2014

As assessment of quantitative energy expenditure for effective exercise is becoming more important, many researches about the monitoring system for exercise status or result have been actively carried out. In this case, however, bicycle riders feel restrained and uncomfortable because the riders should wear a belt-type electrocardiograph or a watch-type accelerometer or GPS system during the assessment of bicycle exercise. In this study, therefore, an electrocardiograph based on textile electrode was developed for measuring ECG and calculating heart rate from the bicycle rider without feeling restraint, and smartphone application was also developed for monitoring the heart rate.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.5
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• pp.373-383
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• 2015

This paper proposes a decision support system to recognizing retinal diseases. This paper uses a smartphone platform and cloud computing as the base of the system. A microscopic lens is attached int' the smartphone camera to capture the user retinal image for recognizing the user's retinal condition. An application is assembled in computer and then installed in to the smartphone. The application role is to connect between the system in smartphone and system in cloud, the application will send the retinal image to the cloud system to be classified. The paper uses OCFE (optimized classifier based on feature elimination) algorithm as the classifier. The retinal image is trained using combination of two ophthalmology databases DIARETDB1 v2.1 and STARE. Therefore, this system average accuracy is 88%, while the average error rate is 12%.

• 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.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.60-69
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• 2012

Public Transport Information Service which use smartphone Apps has received attention as the way of solution that reduced transport problem. Smartphone can offer real-time information because of a LBS(Location Based Service) system. This study try to find out which factor affect mode choice ratio of public transport, especially smartphone Apps. The result shows that rising oil price, traffic congestion, public information service with smartphone apps, BIS(Bus Information System) factors get 0.39, 0.27, 0.18, 0.16 scores with paired comparison. Younger and student respondents prefer smart phone public information service. Decision Tree shows that the most important decision factor is smartphone information service factor.

• Journal of Korea Multimedia Society
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• v.15 no.2
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• pp.273-280
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• 2012

Recently, our society is affected by frequent occurrence of disaster such as local heavy rain and landslide. So, disaster organization and facility are stepping up their efforts to establish an effective disaster information system. Especially, researches of smartphone based disaster information service are conducted actively because smartphone becomes an ubiquitous to society and has various advantages. However, in general, these services only provide simple disaster information and do not consider several elements that is desired by the situation and conditions. Therefore, this paper establishes efficient disaster information service through implementation of application that connect disaster collection system and ability to search disaster information according the terms desired of user.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.729-740
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• 2016

This study was conducted to assess the needs of smartphone application development for self care performance of 374 patients with chronic hepatitis B. The mean age of the subjects was 46.2 years. The patients obtained information about chronic hepatitis B from the internet (41.3%), nurses or doctors (23.8%), television (15.6%), and smartphones (6.2%). The reason that the information about hepatitis B didn't come from a smartphone were 'Lack of useful applications' (75.9%), 'Could not believe the information' (15.0). If the application is developed, subjects replied 'Frequently use' (59.9%), 'When needed' (33.2%). The desired contents were 'Knowledge of disease' (27.1%), 'Drug calender' (16.8%), 'Reference of information' (15.5%), 'Record of lab data' (14.6%). Ability to use the smartphone, depended on age and level of education, however the needs for the development of the smartphone application, there were not differences. Also, there were different desired contents of application, depended on age and level of education. Therefore, when developing smartphone applications for self care performance of chronic hepatitis B patients considering educational level and age, it could be widely utilized as a tool which can help to the self care performance of chronic hepatitis B patients.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.283-289
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• 2012

In the future, smartphone convergences are not only based on the on/offline integration, but also with the integration between mobile communications and broadcasts. Therefore, there is a need to search for new direction of mobile device that enables variety user applications that are different from the existing size and application issue. The aim of this research is to improve user interface of smartphone's functional attribute. We study on the analysis of smartphone's functional attribute by AHP. The survey results in this paper showed that the most preferable attribute of smartphone among the 8 was the wireless internet 25.3%, followed by messaging 20% and application 19.8%, which totaled to 62.5%. But the samples used were mostly limited to those aged 20 through 30. So the results are not considered as a representative preference of all smartphone users, and should be considered otherwise before materializing them to a product. Therefore, for the more liable results the further research should be conducted to gather data from a variety of users of all ages, and the functional attribute should be analysed through QFD.