• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.313-325
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• 2022

The purpose of this study is to examine the changes in the elderly healthcare app market through text mining analysis and to present basic data for activating elderly healthcare apps. Data collection was conducted on Naver, Daum, blog web, and cafe. As for the research method, text mining, TF-IDF(Term frequency-inverse document frequency), emotional analysis, and semantic network analysis were conducted using Textom and Ucinet6, which are big data analysis programs. As a result of this study, a total of six categories were finally derived: resolving the healthcare app information gap, convergence healthcare technology, diffusion media, elderly healthcare app industry, social background, and content. In conclusion, in order for elderly healthcare apps to be accepted and utilized by the elderly, they must have a good diffusion infrastructure, and the effectiveness of healthcare apps must be maximized through the active introduction of convergence technology and content development that can be easily used by the elderly.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.129-131
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• 2021

본 연구의 목적은 모바일 헬스케어 앱의 사용자 경험 요인을 분석하여 제안하는 데 있다. 의료 관련 앱은 주로 의료 서비스 제공자 중심의 기능으로 디자인되어 개인의 서비스 접근성이 낮으며, 데이터 활용에 대한 고려가 부족하다. 개인이 주도적으로 건강 데이터를 활용하기 위해서는 개인 - 건강 데이터 커뮤니케이션을 고려한 앱 개발이 필수적이며, 이와 관련된 사용자 경험을 평가하는 도구가 필요하다. 먼저 문헌 조사를 통해 사용 편의성, 사용 만족도, 정보 구조, 유용성, 정보 품질, 심미성 6가지 사용자 경험 요인을 수집하였다. 이후, '나의건강기록' 앱을 대상으로 사용자 심층인터뷰를 진행하여 모바일 헬스케어 앱 사용자 경험에 영향을 주는 요인을 분석하였다. 심층인터뷰 결과, 사용자 경험 요인에 정보의 이해용이성 요인이 새롭게 도출되었다. 정보의 이해용이성은 건강 정보를 알기 쉽게 제공하여, 사용자들이 어려움 없이 정보를 이해할 수 있는 능력을 의미하고 건강정보이해능력과 관련이 높다. 각 도출된 요인은 정보 주체(사용자)의 편의성, 활용성, 유지율을 높일 수 있는 모바일 헬스케어 앱을 디자인하는 데 유용할 것으로 기대된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.341-342
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• 2021

본 논문에서는 운동 관련 빅데이터를 적용한 인공지능을 활용하여 개개인에게 알맞은 운동 루틴을 추천해 주는 비대면 방식 PT를 제안한다. 이 정책은 '건강한 사람이 앱을 만나 더 건강해진다.'는 모토를 중심으로, 홈 트레이닝을 하고 싶지만 운동방법을 모르는 사람들로 하여금 자신에게 맞추어진 루틴 구성을 통해 운동 수행능력의 효율성을 높이고, 잘못된 자세로 인한 부상 등을 최소화한다. 또한 이 정책은 기존의 일일이 사용자가 입력해야 했던 시스템들에서 머신러닝을 통한 AI 알고리즘을 통한 추천을 통해 비대면 방식의 수동적인 운동 방식에서 AI가 트레이너 역할을 해주는 방식으로 사용자와 상호작용하고, 정확한 운동 목표를 추천함으로써 운동 지속성과 동기성을 부여한다. 본 논문에서는 프로토타입을 통해 제안하는 AI를 적용한 맞춤 헬스 정책이 기존의 헬스 앱 업계에서 시장성을 보일 수 있다는 가능성에 의의를 둔다.

• Journal of Convergence for Information Technology
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• v.10 no.2
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• pp.21-31
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• 2020

This study tested the effectiveness of commercialized smartphone apps in improving walking activities among college students. 66 participants were randomized into each of four groups that was used different behavior change strategies: monetary rewards app, goal setting and feedback app, gaming app, and self-monitoring control group. 45 participants who completed the experimentation was included in data analysis. Repeated measures ANOVA resulted in statistically significant time by groups interactions in recorded step counts, self-reported completed plans and self-reported walking activities scores. The Goal-setting and feedback group and the gaming group resulted in increase in both step counts and completed plans. The results were discussed in the framework of behaviorism.

• Korea Journal of Hospital Management
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• v.26 no.4
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• pp.12-28
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• 2021

Purposes: The convenience of smartphones have lead to people's overdependence on devices, which may cause obstacles in daily life. It is useful to manage smartphone overdependence by using mobile health applications. We aimed to investigate the acceptance of mobile health applications designed to help in the management of smartphone overdependence. Methodology/Approach: We developed the extended model based on the Unified Theory of Acceptance and Use of Technology 2. The modified model had six hypotheses with six variables: result demonstrability, performance expectancy, effort expectancy, social influence, perceived risk, and behavioral intention to use. We randomly included 425 smartphone users in an online survey in 2020. A structural equation model was used to estimate the significance of the path coefficients. Findings: Performance expectancy and social influence had a very strong direct positive association with behavioral intention to use. Result demonstrability had a direct positive association with performance expectancy. Perceived risk had a strong direct negative association with performance expectancy. Performance expectancy and social influence were the main factors directly influencing the acceptance of mobile health applications for the management of smartphone overdependence. Practical Implications: We demonstrated smartphone users' acceptance of mobile health applications for smartphone overdependence management. Based on these results, we could develop mobile health applications more effectively.

• 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.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.133-139
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• 2014

This study has designed the system that can manage the amount of exercise required for health management, viewing the health management courses which are currently being operated, register the desire courses and verifying the registered schedules and monthly health performances at a glance by using a mobile application. The advantage of health club management system is automatically transmits the daily exercise information to the server without a separate sensor through a simple QR scanning using a smart phone. Since the overall operating requirements of services and various facilities of health club is transmitted as the data to the remote server through a smart phone, users of various levels including workers, students, housewives, etc can easily access and use the health club management system using the WiFi, LTE, 3G, etc.

• 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.

• Knowledge Management Research
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• v.22 no.2
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• pp.33-53
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• 2021

Use of mobile apps being extended, privacy concern on the side of the users is increased while they are willing to provide the private information to use the apps. In this study, we tried to identify the motivating elements that influence the users' intention to use the apps, based on the tendency towards regulatory focus and the privacy calculus theory. To verify the study model, we collected data from 151 adults who use health apps throughout the country, and analyzed the data using the PLS-SEM method. According to the result of the study, it was turned out that tendency towards promotion focus had negative impact on privacy concern and privacy danger, and tendency towards prevention focus had positive impact on privacy concern. Privacy concern had negative impact on the intention to use the mobile apps, and privacy benefit and privacy knowledge had positive impact on the intention to use the mobile apps. Finally, the intention to use the mobile apps had positive impact on the intention to continue to use the mobile apps. In this study, we identified different impacts of two types of tendency towards regulatory focus on privacy concern, and identified different influences on the intention to use the mobile apps accordingly.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1722-1725
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• 2015

최근 스마트 폰의 보급이 빠른 속도로 확산되면서 전 세계는 스마트 서비스 시대에 진입하게 되었다. 스마트 폰을 활용한 모바일 헬스케어 서비스는 고령화 사회에서 지속적인 건강관리에 효과적으로 이용될 수 있다. 본 논문에서는 지속적인 관리가 필요한 당뇨 환자들의 식이관리 및 운동관리를 위해 당뇨 관리용 모바일 헬스케어 앱을 구현하였다. 개발된 당뇨PHR은 스마트 폰을 통해 일상생활의 라이프 로그를 입력하여 식이 관리와 운동 관리를 도와주는 기능을 수행한다. 구현된 당뇨 PHR은 사용자의 건강관리뿐 만 아니라 맞춤형 건강 정보 제공을 통해 헬스케어의 일상 구현에 기여 할 수 있다.