• 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.

• Journal of the Korean housing association
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• v.17 no.5
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• pp.17-25
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• 2006

This study begins to make inquires about user's opinion of introducing Interior Landscape into Apartment Housing to grip 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, dwellers' 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 Korean Physical Therapy Science
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• v.29 no.1
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• pp.41-46
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• 2022

Background: The purpose of this study was to develop a sit-to-stand transfer assistive device, and to conduct a feasibility test. Design: A technical note. Methods and results: In this study, we developed a sit-to-stand transfer assistive device for the elderly and the disabled who have difficulty standing up independently from sitting positions. The sit-to-stand transfer assistive device allows the user to transfer the weight from a sitting position to a standing position while shifting the weight forward by grabbing and pulling a support stand. Ten healthy adults participated in the feasibility test of the device. Each participant used the developed sit-to-stand transfer assistive device and investigated supplementation through a brief interview. As a result of the feasibility test, the opinion was that the device could assist the sit-to-stand transfer to some extent. There were opinions that it needed a function to adjust the height of the knee protective plate in the sitting position according to the user's physical characteristics. Because of the inconvenience of operating the lock device for fixing the position and adjusting inclination, there was an opinion that the improvement for a locking device is needed. There were opinions that it would be better to reduce the size of the device due to its inconvenience of portability. Conclusion: In this study, we developed the sit-to-stand transfer assistive device for the elderly and the disabled who have difficulty standing up independently from sitting positions. In addition, it is considered that the upgrade of the device is necessary for the future since there are supplementary opinions on some points.

• Proceedings of the KSR Conference
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• 2005.05a
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• pp.97-102
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• 2005

As the railroad-base is an important factor to maintenance the rolling stocks, it is essential to improve the current problems of the environment pollution, nose, vibration, welfare, work condition and to applicate the performance betterment cases to the new base construction and pre-base maintenance. When the new base construction and pre-base maintenance is proceeded, it is necessary to construct the optimized system which includes the user's opinions enough to prevent the waste of the budget ,in that some part of the budget is spent to improve convenience, work condition, and the fault of base system after the construction. Therefore, this research intends to present the problem of the pre-constructed facilities, the testing operators' opinions, the analysis and the investigation of facilities' improvement, thorough the indication of provisions and the analysis of the result of the survey of testing operators.

• Journal of the Korean Data and Information Science Society
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• v.18 no.3
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• pp.659-668
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• 2007

Collaborative filtering approach for recommender systems are now widely applied in e-commerce to assist customers to find their needs from many that are frequently available. this approach makes recommendations for users based on the opinions to similar users in the system. But this approach is opened to users who present their preference to items or acquire the preference information form other users, noise in the system makes significant problem for accurate recommendation. In this paper, we analyze the relationship between the standard deviation of preference ratings for each user and the estimated ratings of them. The result shows that the possibility of the pre-filtering condition which detecting the factor of bad effect on the prediction of user's preference. It is expected that using this result will reduce the possibility of bad effect on recommender systems.

• The Journal of Korean Association of Computer Education
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• v.14 no.5
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• pp.97-104
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• 2011

Collaborative filtering is a methodology to recommend websites by obtaining data and opinions from the other users with similar tastes. During the past few years, this method has been used in various fields such as books, food, and movies in e-commerce systems. This study addresses the computation of similarity between users to determine items to be recommended in collaborative filtering systems. Previous studies measured similarity between users by treating each user's ratings independently without considering the distribution of the user's ratings. In contrast, this study measures similarity by utilizing position and rank information of each rating in the range of the user's ratings. The result of the experiments on the real datasets demonstrated that the proposed method improves the mean absolute error significantly, compared to the previous methods, especially when the predetermined range of ratings is large.

• Journal of Information Technology Applications and Management
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• v.23 no.2
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• pp.207-224
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• 2016

Investments in information and communication technologies (ICT) around the world have grown at an enormous rate over the past two decades, which reflects a new emphasis on consumer mobile devices. A social network service (SNS) is an online service that aims to build social relations among people who share interests and activities. The role of SNS is enormous for communicating ideas and opinions among social participants. The use of SNS has recently become one of the most popular social activities worldwide. This research investigated relation between personal characteristics, social characteristics and user satisfaction on SNS then, analyzed how these factors affecting continuance usage intention on SNS users. The conclusion is summarized as below. The study results show that informativeness, pleasure, innovativeness, relationship and empathy of SNS are having positive impact to some degree on the user satisfaction. Further, the user satisfaction of SNS users and quality of life have a positive impact on the continuance usage intention of SNS users. This results show that various SNS qualities are necessary to actively explore and obtain further information that users intend to find, while they are insufficient in function to provide the information other users require or exchange information with other users through the SNS.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.131-137
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• 2018

People write reviews of numerous products or services on the Internet, in their blogs or community bulletin boards. These unstructured data contain important emotions and opinions about the author's product or service, which can provide important information for future product design or marketing. However, this text-based information cannot be evaluated quantitatively, and thus they are difficult to apply to mathematical models or optimization problems for product design and improvement. Therefore, this study proposes a method to quantitatively extract user's opinion or preference about a specific product or service by utilizing a lot of text-based information existing on the Internet or online. The extracted unstructured text information is decomposed into basic unit words, and positive rate is evaluated by using existing emotional dictionaries and additional lists proposed in this study. This can be a way to effectively utilize unstructured text data, which is being generated and stored in vast quantities, in product or service design. Finally, to verify the effectiveness of the proposed method, a case study was conducted using movie review data retrieved from a portal website. By comparing the positive rates calculated by the proposed framework with user ratings for movies, a guideline on text mining based evaluation of unstructured data is provided.

• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.5
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• pp.535-542
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• 2012

Recently, the study on small-sized reconnaissance robot has been progressed through grafting robot technology to military fields for minimizing the casualties. Especially, throwable robots have been focusing for their's efficiency in anti-terror operation. However, it is impossible to launch throwable robot to long range(approximately 100m) by hand. So we need another type of robots, so called launchable robots, which can launch farther and is more accurate by launcher. In this paper, we presented the process of developments of launchable robots('launchbot') which are available for remote launch from collection of user's opinions to field test. Based on the opinions of users, we established the goal of development, designed and manufactured the robots. Through the field test, we found that our launchable robot satisfied the performance requirements.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.433-442
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• 2009

People are tending to buy products through the Internet rather than purchasing them from the store. Some of the consumers give their feedback on line such as reviews, replies, comments, and blogs after they purchased the products. People are also likely to get some information through the Internet. Therefore, companies and public institutes have been facing this situation where they need to collect and analyze reviews or public opinions for them because many consumers are interested in other's opinions when they are about to make a purchase. However, most of the people's reviews on web site are too numerous, short and redundant. Under these circumstances, the emotion scanning system of text documents on the web is rising to the surface. Extracting writer's opinions or subjective ideas from text exists labeled words like GI(General Inquirer) and LKB(Lexical Knowledge base of near synonym difference) in English, however Korean language is not provided yet. In this paper, we labeled positive, negative, and neutral attribute at 4 POS(part of speech) which are noun, adjective, verb, and adverb in Korean dictionary. We extract construction patterns of emotional words and relationships among words in sentences from a large training set, and learned them. Based on this knowledge, comments and reviews regarding products are classified into two classes polarities with positive and negative using SO-PMI, which found the optimal condition from a combination of 4 POS. Lastly, in the design of the system, a flexible user interface is designed to add or edit the emotional words, the construction patterns related to emotions, and relationships among the words.