• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.229-236
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• 2022

The goal of this research is to understand the extent to which active seniors' mobile app usage level affects their lifestyle and life satisfaction. For this, we surveyed for 15 days in early December 2021 targeting about 150 users nationwide. As the questionnaire content, the independent variable was "mobile app usage level", the parameter was "lifestyle", and the dependent variable was "life satisfaction". As a result of empirical analysis, reliability and exploratory factors between each variable were verified, and it was confirmed that internal consistency was secured. It was investigated that the concentration validity of each item was generally well confirmed. As a result of hypothesis testing by the structural equation, 'App usage level ⇨ Lifestyle' was 0.244, 'Lifestyle ⇨ Life satisfaction' 0.707, and 'App usage level ⇨ Life satisfaction 0.141' was adopted. This study shows that the higher the level of mobile app usage of active seniors, the higher the lifestyle. Also, the better the lifestyle, the better the quality of life. It is analyzed that life satisfaction will improve as the level of mobile app use increases. Therefore, in order to improve life satisfaction, it seems necessary to increase the level of app use and lifestyle.

• Therapeutic Science for Rehabilitation
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• v.9 no.3
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• pp.23-34
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• 2020

Objective : Recently, the demand for wearable mobile devices for the monitoring and improvement of one's health and quality of life is increasing. Therefore, the purpose of this study is to analyze the need of potential users in order to develop mobile health based and lifestyle care application for the elderly. Methods : Participants who lived in their community and used a mobile phone were recruited. Finally, a total of 84 participants completed the survey. Data were analyzed using descriptive statistics and a t-test, which was carried out with SPSS version 25.0. Results : The application functions that users deemed important for a lifestyle care app were the number of daily steps, physical activity, blood pressure, sleep, nutrition and participation in activity. Interestingly, there was a significant difference in the importance given to the app function of participation in activities between age groups. Conclusion : This study investigated the need and preferences of potential users of health and lifestyle care application for the promotion of health among the elderly. The, findings obtained from this study could be a valuable resource for the development of lifestyle care application.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1231-1234
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• 2012

본 연구에서는 Mobile Smart Device와 Bluetooth 기반의 휴대용 센서 모듈을 이용하여 Bluetooth 기반의 USN을 구성하여 상시 건강 관리를 위한 데이터를 측정하고 건강 가이드를 제공하는 Lifestyle 측정 시스템을 설계, 구현하였다. 운동, 도보 등 상시 활동량을 측정하기 위해 3축 가속도 센서로 움직임을 측정하고 Bluetooth 통신을 통해 Mobile Smart Device로 측정 데이터를 전송할 수 있는 LSM(Lifestyle Sensor Module)과 전송된 측정 데이터를 Android Mobile Smart Device를 사용하여 상시 활동량 데이터를 저장, 처리하여 분석결과에 의한 건강 가이드를 제공하는 Android App을 설계 구현하였다. 활동량을 분석하기 위해 3축 가속도 센서로 측정한 2G, 4G, 8G, 16G 3축 데이터를 에너지 값으로 변경 후 임계값을 다양하게 변경하면서 에너지 값을 분석하여 최적의 임계값을 도출하였다.

• The Journal of Information Systems
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• v.29 no.4
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• pp.1-24
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• 2020

Purpose An increase in the number of fitness apps across the world is a testament to the growing interest in health. As focus on medical services shifted from treatment to prevention, this type of app plays an essential role in promoting one's health and exercise management. Yet little has been known about practical effects of fitness apps in existing literature thus this study searches for factors that affect daily use of fitness apps and examine the relationship between app usage and exercise patterns. Design/methodology/approach This study surveyed people who used Cashwalk, the pedometer app for a minimum of a week to analyze reasons why they used the app. Particpants' exercise patterns were also recorded. By examining survey results of fitness app users and developing a research model based on the Customer Value Theory, this study provides real-life factors to the fitness and smart health care industry that will adopt a proactive lifestyle pattern. Findings Empirical analysis proved properties such as the complexity of fitness apps, monetary rewards, exercise monitoring and the enjoyment of using fitness apps contribute to using fitness apps on a daily basis. Furthermore, more daily use of fitness apps was shown to have a greater impact on exercise. This study also confirmed that social comparison does not affect the daily use of fitness apps and the amount of exercise, and the habitual walking was proved to directly affect the amount of exercise.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.429-437
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• 2014

Product promotion App is developed using an interactive video in order to overcome the existing ATL marketing limitations and to respond to target age groups and lifestyle changes. The product promotion App which is positioned as a smart care center by analyzing customer needs with the Customer Journey Map, is comprised of 3 categories such as interest, information and management reflecting media characteristics of smart mobile contents. It intends to induce viral promotions with comical and interactive alopecia simulator directly described by a specialist doctor which ensures reliability of products. In addition, it is made for customers to continuously manage the alopecia through management tools, and company can expect an effect of being used as a core tool for marketing activities by offering promotional information along with product feedbacks.

• Journal of Internet of Things and Convergence
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• v.2 no.3
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• pp.7-15
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• 2016

These days, a lot of research has been in progress for a home automation system. In this study, the intelligent home automation system is developed for automatically controlling the temperature and illumination of the house. The difference with other research can be adjusted individually according to your taste and lifestyle of each individual, it is that it provides a more comfortable living environment through the accumulated lifestyle database. In addition, proposed system can use the mobile app to easily control the lighting devices, a electric fans, and heaters. Moreover the mobile app of proposed system offers function that allows you to search for residential environments statistics on their lifestyle.

• Journal of Multimedia Information System
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• v.5 no.1
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• pp.53-58
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• 2018

The Republic of Korea (ROK) has been putting much effort to deal with diabetes which is being increasingly found in all age groups due to inadequate diet. Diabetes is closely related to one's eating habits and lifestyle that often cause hyperglycemia so that it is essential for the diabetic patients to change them to improve or control the major symptoms of diabetes. This study introduces a software engineering solution to support these patients. The software designed for the solution lets the patients to easily recognize their sugar levels and current treatment schemes and then advises a more effective approach along with the essential information through the embedded push service. The major goal of this study is to support diabetes patients by providing a convenient but effective means to prevent or improve diabetic symptoms by patients themselves who will in turn change their lifestyles in a positive manner.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.316-318
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• 2019

Recently, healthy life has become an issue in an aging society, and the number of people who have been interested in continuous health care for better life is increasing. In this paper, we implemented a personalized recommendation systm to provide convenient healthcare management for user. The PHR (Personal Health Record) of user could be stored in the server along with health related information such as lifestyle, disease, and physical condition. The users could be classified into similar clusters according to the PHR profile in order to provide healthcare contents to the users who had similar PHR profile. K-Means clustering was applied to generate clusters based on PHR profile and ACDT(Ant Colony Decision Tree) algorithm was used to provide personalised recommendation of health information stored in knowledge base. The app system developed in this paper is useful for users to perform healthcare themselves by providing information on serious diseases and lifestyle habits to be improved according to the clusters classified by PHR profile.

• Journal of Fashion Business
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• v.18 no.5
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• pp.25-41
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• 2014

As the smart phone market grows rapidly, the significance of the application (app) market also increases. The purposes of this study were to identify market segments according to technological innovativeness and clothing involvement, and to compare the differences in lifestyles, benefits of fashion information app sought, and intention to use. The data were collected from smart phone users in their 10s to 30s in 2013, and a total of 292 data sets were analyzed. The findings of this study were as follows. The respondents were divided into three groups, innovative group, clothing involvement group, and passive group. Significant differences were found among three segments in terms of age, marital status, education level, and monthly income. With respect to five lifestyle factors, innovative group and clothing involvement group had higher mean scores for rational purchase, personal relationship, and personality pursuit than passive group. However, these two groups showed differences in brand pursuit factor. The benefits of the fashion information app were generated into two factors, information benefit and enjoyment benefit. Innovative group and clothing involvement group had higher values than passive group in these two factors. Finally, innovative group had the highest value on the intention to use fashion information app. This study attempts to provide fundamental information about the potential market segment for managers or marketers developing fashion information apps.

• Journal of Distribution Science
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• v.12 no.10
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• pp.19-28
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• 2014

Purpose - This study intends to verify if the m-VALS developed to help the establishment of the mobile shopping vitalization strategy is classified as the same type as it is in the adult customers. Research design, data, and methodology - A total of 84 valid copies of the questionnaire were used. Factor analysis was performed first, as well as performing reliability and validity analysis after deducing the factors, and the simple regression analysis and multiple regression analysis techniques were employed. Results - The m-VALS needs verification through various groups and the delicateness of the questions needs to be ensured; further, for all the lifestyle types in relation to the mobile shopping acceptance incentives, all the remaining lifestyle types excepting the sociability-oriented type had a positive effect on consistent use intention. Conclusion - It is implied that the charm of the mobile shopping App should be enhanced and that, when establishing the mobile shopping mall with which the positive frequent and interactive communication is possible along with the opportunity to be together, the positive achievement can be obtained.