• Journal of Digital Convergence
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• v.6 no.4
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• pp.177-183
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• 2008

This paper aims to offer a solution based on intelligent document classification to create a user-centric information retrieval system allowing user-centric linguistic expression. So, structures expressing user intention and fine document classifying process using EBL, similarity, knowledge base, user intention, are proposed. To overcome the problem requiring huge and exact semantic information, a hybrid process is designed integrating keyword, thesaurus, probability and user intention information. User intention tree hierarchy is build and a method of extracting group intention between key words and user intentions is proposed. These structures and processes are implemented in HDCI(Hybrid Document Classification with Intention) system. HDCI consists of analyzing user intention and classifying web documents stages. Classifying stage is composed of knowledge base process, similarity process and hybrid coordinating process. With the help of user intention related structures and hybrid coordinating process, HDCI can efficiently categorize web documents in according to user's complex linguistic expression with small priori information.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.04a
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• pp.291-296
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• 2008

This paper reports on the results of a questionnaire survey on actual conditions of sleep environment, sleep problems and sleep patterns in bedroom of house. The objectives of survey are: 1) classifying Korean people into several groups by sleep environment condition, sleep problem and life pattern, 2) describing the characteristics of user groups, and 3) searching needs of support for each user group. Despite of several studies about sleep condition that researched in advance, they weren't considered about user's respective characters. So it seems necessary for more studies about users' needs, and segment users to grasp their each detail needs. Therefore, this study conducted questionnaire survey gathering relevant information to classify user groups and to investigate the current bedroom condition. In the result, 702 respondents were divided into six clusters by extracted eight factors. Four clusters of them had some problems for sleep, so it could be seen that they need environmental solution for their good sleep. As the further objective, it will be connected to develop the good sleep system.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.416-434
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• 2022

This study, for learners using online and offline tools, understood the structural relationship of user experience of smart learning app on continuous use intention through the technology acceptance model, and classified the learning type characteristics. In addition, based on the experience of using the smart learning app, we explored ways to improve the design of the user experience design for learning tools and contents. For this purpose, the usage perception of 84 middle and high school students of the developed smart learning learning app was investigated after using it for 2 months, and the data were analyzed using the PLS structural equation technique. The main results of this study are as follows. First, system and content user experience had a significant effect on perceived usability and perceived ease of use, and the effect on continued use intention through attitude was significant. Second, there was a significant difference in the effect of system user experience on perceived usefulness in multi-group comparative analysis and gender group. In the preferred learning group, it was the path from perceived ease of use and perceived usefulness to attitude and intention to continue using that showed a significant path difference. Third, as a result of classifying the most commonly used learning types by the multidimensional scale method, the types separated into low dimensions were found to be four types: offline sync type, online sync type, ubiquitous learning type, and self-direct learning type.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.2
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• pp.142-149
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• 2004

It is important to retrieve exact information coinciding with user's need from lots of Usenet news and filter desired information quickly. Differently from email system, we must previously register our interesting news group if we want to get the news information. However, it is not easy for a novice to decide which news group is relevant to his or her interests. In this work, we present a service classifying user preferred news groups among various news groups by the use of Kohonen network. We first extract candidate terms from example documents and then choose a number of representative keywords to be used in Kohonen network from them through fuzzy inference. From the observation of training patterns, we could find the sparsity problem that lots of keywords in training patterns are empty. Thus, a new method to train neural network through reduction of unnecessary dimensions by the statistical coefficient of determination is proposed in this paper. Experimental results show that the proposed method is superior to the method using every dimension in terms of cluster overlap defined by using within cluster distance and between cluster distance.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.2
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• pp.41-50
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• 2021

This study was conducted to see the differences of park users by classifying them with their park use frequency in terms of park use, management policy and perception, using the same survey results conducted in 2014 and 2020. Research was conducted on urban parks in Yangju, South Korea, and 740 in 2014 and 431 in 2000 survey results were used. After classifying the high-use and low-use groups according to park use frequency, this study compared the demographic differences and park use method differences according to the group, the recognition differences for the future park management direction between the two groups were analyzed and compared using statistical analysis by year. The results showed that the park's quantitative expansion and accessibility improvements were the most important issues in 2014, while the importance of park management, such as checking and improving aging facilities, providing various programs, and creating a themed neighborhood park that could reveal the identity of the area, was increased in 2020. Despite recognizing the importance of persistent management in the case of high-use groups, the results showed that they were less willing to participate in park management programs compared to less-use groups, which showed the need for a discussion of how to involve high-use groups for long term park management. This study contribute the body of literature that it seeks to understand differences of park user in terms of their park use frequency. However, in future studies, analyzing the differences of park users through a short-term study is required.

• Journal of the Korean housing association
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• v.20 no.1
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• pp.37-44
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• 2009

Sleep has big influence on our life, for example productivity, character formation of babies, mortality and the people who suffered from sleep problem are also diverse. Therefore, indoor environmental supports for good sleep, might be different with the situation and need of respective person. The objectives of this study are: 1) to investigate the current bedroom condition, sleep problem, and life pattern of Korean. 2) to classify Korean into several groups and explain their characteristics relevant to sleep, in order to understand Korean's need for good sleep. The questionnaire was sent out to Seoul and its environs in Jan.$\sim$Feb. 2008, and total of 702 questionnaires were collected. The research on the bedroom condition was conducted around perceived influence of environmental factors, opening and closing of the door, cooling and heating strategy, clo value during sleep, bedding type, lighting, sharing bedroom. People are divided into 6 groups by 8 factors, and 5 groups could be seen that they need some management for good sleep because of their sleep problem.

• Management & Information Systems Review
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• v.34 no.5
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• pp.23-47
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• 2015

In the Korea stock market, individual investors have perceived stock as short arbitrage investment, not long-term investment strategy. In order to reinforce stock market transparency and soundness, it is important to enforce the measures for stock market management. Especially, stock market event caused by financial policy can be given individual investors negative information regarding a stock trading. Thus, it is a need for investigating whether comprehensive review of listing eligibility is influenced on individual investors' responses and stock behaviors in respect of effectiveness. The purpose of this study to examine the relations between such stock market management and transitional aspect of individual investors' trading types and response on the based of pre- and post-event occurrence. Using an dataset of user's text messages on 9 firms posted on the firm-based social media (i.e., Naver, Daum, Paxnet) over the period 2009 to 2014. And we performed text-clustering and topic modeling according to keywords for classifying into investors group and non-investors groups and two types of investors were categorized depending on main topic transition by event windows in Comprehensive review of listing eligibility. The results indicated that a variety of stockholders existed in the stock. And the ratio of non-investors group was on the decrease, on the other hand, the proportion of investors group veer onto the side of pre-pattern after comprehensive review of listing eligibility. A distinctive feature of our study is to explain the influence of stock market management on response changes of individual investors as well as to categorize in accordance with time progression. Implications an suggestions for future research were also discussed.

• Journal of Korean Academy of Nursing Administration
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• v.6 no.1
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• pp.83-96
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• 2000

With the increased use of computers in medical fields, we can consider introducing computer mediated communication into the area of patient care such as medical or health counseling and education. But little was known about what problems can be counseled, what is the main direction of counseling, and what difficulties are met during the computer mediated counseling. So I conducted this study. This is a fundamental study concerning the health counseling by the inter-net. In this study, medical counseling using a method of questioning -answering through a computer mediated communication system was carried out from June 1998 to May 1999. I analyzed the contents of questions and answers by the ICPC classification. The ICPC classification emerged as a standard for information categorization in Primary Health Care within a few years. One of the most prominent features of this classification is the inclusion of the complaints of the patients (symptoms & complaints) and the social problems (Chapter Z). Thus, and for the first time, the demand of patients may be assessed such as it is expressed in the reality. The ICPC list is now an international standard whose validity is not questioned any more. It is translated in more than twenty different languages. The data collected were analyzed by descriptive statistical method, c2 test by cross tabulations. Followings are the results of this study. 1. The 3,054 users composed of 64% of males and 36% of females. The highest number of users was showed in the age group of $25{\sim}29$ (39.4%). 2. During the one-year period, the average number of counseling per user was 2.5 cases and per day was 21.1 cases. 3. In classifying symptoms and complaints by 17 chapter, digestive(17.6%), general and unspecified (12.7%), skin(12.7%) and musculoskeletal system (9.6%) were most common questions. 4. The distribution of diagnosis by 17 chapter, general and unspecified (21.4%), digestive (15.3%), skin (11.9%) and mus- culoskeletal system (8.9%) were most common answers. 5. Many users wanted to know symptoms and complaints(3,609 cases), treatment principles (2,928 cases), prognosis and preventive methods for health problems which were previously diagnosed (284 cases).

• Smart Media Journal
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• v.12 no.11
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• pp.198-210
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• 2023

After COVID-19, team's collaborations are conducted online using whiteboard tools as remote working increases. In order to understand the problems of the convergence process using online whiteboard tools, an observation study comparing online and offline collaboration and a focus group interview were conducted. In addition, a questionnaire was conducted to confirm the found problem, and a solution idea was proposed. through in-depth interviews, we validate the proposed ideas. The convergence process of collaboration using online whiteboard tools had problems ; "excessive amount of information", "shift of view", "role of facilitator". To solve the problems, we proposed the idea of classifying each stage of the collaboration process, providing a navigator, and facilitator request system window. This paper proposed an idea that can effectively help the convergence process directly related to decision-making during the online collaboration process through analysis of advantages and problems of online and offline collaboration.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.117-140
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• 2019

As the aging phenomenon accelerates and various social problems related to the elderly of the vulnerable are raised, the need for effective elderly care solutions to protect the health and safety of the elderly generation is growing. Recently, more and more people are using Smart Toys equipped with ICT technology for care for elderly. In particular, log data collected through smart toys is highly valuable to be used as a quantitative and objective indicator in areas such as policy-making and service planning. However, research related to smart toys is limited, such as the development of smart toys and the validation of smart toy effectiveness. In other words, there is a dearth of research to derive insights based on log data collected through smart toys and to use them for decision making. This study will analyze log data collected from smart toy and derive effective insights to improve the quality of life for elderly users. Specifically, the user profiling-based analysis and elicitation of a change in quality of life mechanism based on behavior were performed. First, in the user profiling analysis, two important dimensions of classifying the type of elderly group from five factors of elderly user's living management were derived: 'Routine Activities' and 'Work-out Activities'. Based on the dimensions derived, a hierarchical cluster analysis and K-Means clustering were performed to classify the entire elderly user into three groups. Through a profiling analysis, the demographic characteristics of each group of elderlies and the behavior of using smart toy were identified. Second, stepwise regression was performed in eliciting the mechanism of change in quality of life. The effects of interaction, content usage, and indoor activity have been identified on the improvement of depression and lifestyle for the elderly. In addition, it identified the role of user performance evaluation and satisfaction with smart toy as a parameter that mediated the relationship between usage behavior and quality of life change. Specific mechanisms are as follows. First, the interaction between smart toy and elderly was found to have an effect of improving the depression by mediating attitudes to smart toy. The 'Satisfaction toward Smart Toy,' a variable that affects the improvement of the elderly's depression, changes how users evaluate smart toy performance. At this time, it has been identified that it is the interaction with smart toy that has a positive effect on smart toy These results can be interpreted as an elderly with a desire to meet emotional stability interact actively with smart toy, and a positive assessment of smart toy, greatly appreciating the effectiveness of smart toy. Second, the content usage has been confirmed to have a direct effect on improving lifestyle without going through other variables. Elderly who use a lot of the content provided by smart toy have improved their lifestyle. However, this effect has occurred regardless of the attitude the user has toward smart toy. Third, log data show that a high degree of indoor activity improves both the lifestyle and depression of the elderly. The more indoor activity, the better the lifestyle of the elderly, and these effects occur regardless of the user's attitude toward smart toy. In addition, elderly with a high degree of indoor activity are satisfied with smart toys, which cause improvement in the elderly's depression. However, it can be interpreted that elderly who prefer outdoor activities than indoor activities, or those who are less active due to health problems, are hard to satisfied with smart toys, and are not able to get the effects of improving depression. In summary, based on the activities of the elderly, three groups of elderly were identified and the important characteristics of each type were identified. In addition, this study sought to identify the mechanism by which the behavior of the elderly on smart toy affects the lives of the actual elderly, and to derive user needs and insights.