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A Network Analysis of Information Exchange using Social Media in ICT Exhibition
Ki Mok Ha(하기목),Hyun Sil Moon(문현실),Il Young Choi(최일영),Jae Kyeong Kim(김재경) 한국지능정보시스템학회 2014 지능정보연구 Vol.20 No.2
The proliferation of using social media and social networking services affects the lifestyles of people. These phenomena are useful to companies that wish to promote and advertise new products or services through these social media; these social media venues also come with large amounts of user data. However, studies that analyze the data of social media within the perspective of information exchanges are hard to find. Much of the previous research in this area is focused on measuring the performance of exhibitions using general statistical approaches and piecemeal measures. Therefore, in this study, we want to analyze the characteristics of information exchanges in social media by using Twitter data sets, which are relating to the Mobile World Congress (MWC). Using this methodology provides exhibition organizers and exhibitors to objectively estimate the effect of social media, and establish strategies with social media use. Through a user network analysis, we additionally found that social attributes are as important as the popular attribute regarding the sustainability of information exchanges. Consequently, this research provides a network analysis using the data derived from the use of social media to communicate information regarding the MWC exhibition, and reveals the significance of social attributes such as the degree and the betweenness centrality regarding the sustainability of information exchanges.
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목 건강 고위험군의 움직이는 모니터 사용에 따른 두부전방 자세 교정 효과에 관한 연구
최경희(Kyeong-Hee Choi),공용구(Yong-Ku Kong),심현호(Hyun-Ho Shim ),조민욱(Min-Uk Cho),박채원(Chae-Won Park),홍보람(Bo-Ram Hong),김승훈(Seoung-Hoon Kim),정현주(Hyun-Ju Jung),송현아(Hyun-A Song),류지헌(Ji-Heon Ryu),김재경(Jae-Kyeong Ki 대한인간공학회 2019 대한인간공학회 학술대회논문집 Vol.2019 No.10
Objective: The aim of this study was to verify the correction effect of Forward Head Posture (FHP) by using Moving Monitor in a high-risk group of the neck. Background: Office workers who have been used VDTs are subject to high loads on the neck and shoulders during their work due to the high frequency of FHP. Thus, our research team developed a Moving Monitor Arm that continuously induced calibration movements when the users use the monitor. Method: Seven participants who rated as a high-risk group of the neck to study the effect of FHP correction using the Moving Monitor. The fatigue and posture of the neck were quantified using Flexion Relaxation Ratio (FRR), Onset Angle, Offset Angle, Craniovertbral Angle (CVA) and Subjective Discomfort Rating in this study. Results: The effects of task pre/post on the FRR and subjective discomfort, and the effect of monitor type on the Onset/Offset angles was significant in this study, respectively. Conclusion: Based on the results of the experiment, correction effect of Moving Monitor was verified. Application: The results of this study showed that moving monitors can be applied to prevent musculoskeletal disorders associated with VDTs.
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사회 네트워크를 이용한 사용자 기반 유헬스케어 서비스 추천 시스템 개발
김혜경(Hyea Kyeong Kim),최일영(Il Young Choi),하기목(Ki Mok Ha),김재경(Jae Kyeong Kim) 한국지능정보시스템학회 2010 지능정보연구 Vol.16 No.3
As rapid progress of population aging and strong interest in health, the demand for new healthcare service is increasing. Until now healthcare service has provided post treatment by face-to-face manner. But according to related researches, proactive treatment is resulted to be more effective for preventing diseases. Particularly, the existing healthcare services have limitations in preventing and managing metabolic syndrome such a lifestyle disease, because the cause of metabolic syndrome is related to life habit. As the advent of ubiquitous technology, patients with the metabolic syndrome can improve life habit such as poor eating habits and physical inactivity without the constraints of time and space through u-healthcare service. Therefore, lots of researches for u-healthcare service focus on providing the personalized healthcare service for preventing and managing metabolic syndrome. For example, Kim et al.(2010) have proposed a healthcare model for providing the customized calories and rates of nutrition factors by analyzing the user’s preference in foods. Lee et al.(2010) have suggested the customized diet recommendation service considering the basic information, vital signs, family history of diseases and food preferences to prevent and manage coronary heart disease. And, Kim and Han(2004) have demonstrated that the web-based nutrition counseling has effects on food intake and lipids of patients with hyperlipidemia. However, the existing researches for u-healthcare service focus on providing the predefined one-way u-healthcare service. Thus, users have a tendency to easily lose interest in improving life habit. To solve such a problem of u-healthcare service, this research suggests a u-healthcare recommender system which is based on collaborative filtering principle and social network. This research follows the principle of collaborative filtering, but preserves local networks (consisting of small group of similar neighbors) for target users to recommend context aware healthcare services. Our research is consisted of the following five steps. In the first step, user profile is created using the usage history data for improvement in life habit. And then, a set of users known as neighbors is formed by the degree of similarity between the users, which is calculated by Pearson correlation coefficient. In the second step, the target user obtains service information from his/her neighbors. In the third step, recommendation list of top-N service is generated for the target user. Making the list, we use the multi-filtering based on user’s psychological context information and body mass index (BMI) information for the detailed recommendation. In the fourth step, the personal information, which is the history of the usage service, is updated when the target user uses the recommended service. In the final step, a social network is reformed to continually provide qualified recommendation. For example, the neighbors may be excluded from the social network if the target user doesn’t like the recommendation list received from them. That is, this step updates each user’s neighbors locally, so maintains the updated local neighbors always to give context aware recommendation in real time. The characteristics of our research as follows. First, we develop the u-healthcare recommender system for improving life habit such as poor eating habits and physical inactivity. Second, the proposed recommender system uses autonomous collaboration, which enables users to prevent dropping and not to lose user’s interest in improving life habit. Third, the reformation of the social network is automated to maintain the quality of recommendation. Finally, this research has implemented a mobile prototype system using JAVA and Microsoft Access2007 to recommend the prescribed foods and exercises for chronic disease prevention, which are provided by A university medical center. This research intends to prevent diseases such as chronic illne
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