• Science of Emotion and Sensibility
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• v.16 no.2
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• pp.167-176
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• 2013

User-created text data are increasing rapidly caused by development of social media. In opinion mining, User's opinions are extracted by analyzing user's text. A primary goal of sentiment analysis as a branch of opinion mining is to extract user's opinions from a text that is required to build a list of emotion terms. In this paper, we built a list of emotion terms to analyse a sentiment of social media using Facebook as a representative social media. We collected data from Facebook and selected a emotion terms, and measured the dimensions of valence and activation through a survey. As a result, we built a list of 267 emotion terms including the dimension of valence and activation.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.5
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• pp.29-41
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• 2017

Recently, citizen participation and user - oriented design are becoming increasingly important in the urban space design process. The Children's Park has also begun to discuss the need to reflect children's opinions and needs as well as existing ways and means of participation to reflect these opinions and ideas. In this study, a design education program for children was constructed and user opinions accessed via this design education were reflected in design and applied to the Children's Park. The training program consists of five weeks of educational programs, textbooks and teaching methods related to existing research, design education for children and participatory design programs. This program was used as a pilot of Eogong-6ho Children 's Park(No. 6 Children's Park), located in Gwonseon-gu, Suwon, and reinterpreted the results of the workshop for 5th grade students at Sunil Elementary School. This design education program is distinguished from other workshop programs on how to organize and operate participating professors and textbooks, and has a program base that can reproduce the entire process. In addition, it is necessary to verify the effects of user participation through research, such as monitoring the use of children's parks after completion, as well as the application of more diverse design methodologies to children's parks and the way they reflect children's opinions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.10a
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• pp.35-36
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• 2012

This study had a survey on the user opinions of the water-front in seoul Hangang Park Banpo area. The survey was carried out individual interviews in the place where it can be directly overlooked the Han-river. And the results were analyzed in percentage terms. As a result, the highest rank in age structure is 33 percent of people in their twenties, and the following is 23.5 percent of thirties. ${\cdots}{\cdots}$(amount of)${\cdots}{\cdots}$.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.111-114
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• 2005

This study begins to make inquires about user's opinion of introducing Interior Landscape into Apartment Housing to the problems of contemporary Interior Landscape and suggest the fundamental data to improve it. The city-ward drifting of population drawn from industrial development and aggravation of living condition bring about exclusion of nature and lack of green space. Furthermore, it increases the length of stay of urban liver in indoor space. Thus, dweller's desire to Interior Landscape increase but housing can't follow it. The purpose of this study is to understand characteristics of Interior Landscape, derive essential factors, study plans, establish radical data, and suggest better plans including Interior Landscape through making inquires about user's opinion.

• Journal of the Korean Institute of Plant Engineering
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• v.23 no.4
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• pp.57-64
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• 2018

User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.31-38
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• 2013

The evolution of the Web from Web 1.0 to Web 2.0 has brought up new platforms as SNSs(Social Network Service) that are used by users to articulate and manage their relationships. SNSs are an online phenomenon which has become extremely popular. A SNS essentially consists of a representation of each user, his/her social links, and a variety of additional services. SNSs are increasingly attracting the attention of academic and industry researchers. What makes SNS unique is that they have a relationship with friends. The friend recommendation is one important feature of social networking services. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose an efficient data processing method for social data. We study previous researches about social score in social network service. Our ESS(Efficient Social Score) is computed by both friendship weight and score of a document that was tagged by a user's friends. Our experimental results also confirm that our method has good performance.

• Journal of Families and Better Life
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• v.22 no.4
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• pp.1-14
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• 2004

Although the proportion of frail elderly among the elderly population has been rapidly increasing, there is little preparation to provide housing alternatives for them in Korean society. Long-term care facility a housing alternative for frail elderly that enables them to receive social and medical care services that enhance the quality of their life. This research was conducted to study the opinions of middle-aged Koreans about long-term care facilities for the frail elderly. This study provides useful suggestions for the development of user-paid long-term care facilities in the near future. A survey questionnaire was administered to 600 adults in their 50s to collect data. The sample was stratified according to region, gender, and housing structure type. The results showed that most of the respondents were aware of long-term care facilities for the frail elderly; but they were relatively unwilling to live in these facilities, as compared to other housing alternatives. However, a larger number of respondents said that as they became very frail, they would be willing to live in these facilities. The respondents expressed a high level of need for user-paid long-term care facilities as an alternative to hospitalization. Also, they wanted to have a variety of long-term care facilities that are designed for different levels of disability. The education level of respondents and their spouses, average monthly income, subjective economic level, and religion were major variables that differentiated significantly the opinions about long-term care facilities for the frail elderly.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.250-260
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• 2022

Mobile Banking Applications (MBAPs) is one of the recent fads in mobile trading applications (Apps). MBAPs permit users to execute exchanges of money and many more whenever it might suit them; however, the primary issue for mobile banking Apps is usability. Hardly any investigation analyzes usability issues dependent on user's age, gender, exchanging accomplices, or experience. The purpose of this study is to determine the degree of usability issues, and experience of mobile banking users. The survey employs a quantitative method and performs user experiment on 240 participants with six different tasks on the application's interface. The post experiment survey is done with concerning participants. On the other hand, banking experts and Information Technology (IT) expert's group is also involved after the experiment. Expert's opinions about existing mobile banking Apps and suggestions for improving usability of MBAPs are collected through physical means (like questionnaire and interview) and online means like Google form. After that comparison of the opinions of users and experts about MBAPs is performed. The experimentation measures the tasks usability of various mobile banking apps with respect to its effectiveness, efficiency, trustfulness, learnability, memorability and satisfaction. The usability testing was led at different Universities and the outcomes acquired show that there are privacy and trust issues with their mobile banking apps. There is also a gap between users and experts which should be minimized by applying customized usability models, modes concept like other application software and also by adding complete features of banking in MBAPs. It will benefit mobile banking apps users, developers and usability engineers by providing user-friendly which are up to the mark of user's requirements.

• Asia pacific journal of information systems
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• v.4 no.2
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• pp.247-263
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• 1994

This paper reports the results of a field study investigating the effect of user participation and attitude on the success of information system implementation during the system development process. The theoretical framework for this research is based on the organizational change theory, in which the attitude affects the effects of user's participation. User participation and attitude were defined as independent variables and the performance of system implementation as dependent variable. User participation was defined as a direct participation by end users in the process of the new information system development. This was measured by user's participation/non-participation. User attitude refers to user's opinions or feelings before a new system is developed. This was measured by user's favor toward a system. The performance of system implementation was measured by the surrogate variable, the degree of individual satisfaction on developed system. To achieve the objective of this research, a field research method utilizing questionnaires were employed. They were distributed to 221 users present during and/or after system development. Among 185 questionnaires returned, 175 questionnaires were used for analysis. The major findings can be summarized as follows: First, there was no significant effect of user participation on user satisfaction. Second, there was a significant effect of user attitude on user satisfaction. Third, there was no significant interaction effect of user participation and attitude on user satisfaction. It is worth to note that the user's participation did not have any significant effect on the user's satisfaction. It seems the reason for the above result is due to user's involuntary participation. In fact, the user does not have much leverage in the process of system development, which may result in poor performance of user participation. Since user attitude is an important factor in the success of system implementation, however, a method to overcome unfavorable attitude of user should proceed all others.

• Knowledge Management Research
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• v.16 no.3
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• pp.81-102
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• 2015

With the rapid development of digital media, there has been a huge change in a way of communication, a process of information diffusion and a role of traditional media. Not like mass media, social media enables users to generate and tap into the opinions of a larger world. From that reason, social media is impacting marketing strategies. However, still social media marketing researches just focus on case study, analysis of users motivation or analysis of power user's usage pattern. Word-of-mouth has always been important especially in marketing area. In social media, word-of-mouth depends on each user that's why this research focuses on individual user's activity in SNS. I defined 4 factors (produce, diffusion, network size, activity of network size enlarge) that are effect on activity and verified hypothesis by multiple regression analysis, hierarchical regression analysis and moderated multiple regression.