• Korean Institute of Interior Design Journal
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• v.23 no.5
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• pp.112-121
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• 2014

The purpose of this study is to develop the user-oriented housing interior space sensibility evaluation tools: The user-oriented housing interior space sensibility evaluation tools shall be developed through the systematic selection process of the extracted housing interior space images, which were linked with the adjectives of sensibility evaluation selected for the housing interior space preferred by the user from the specific words of the sensibility extracted to identify the characteristics of the user's sensibility which is recently being changed. In the results of analyzing the words of sensibility for the residential space preferred by the users with 48 pairs of adjectives. The user-oriented sensibility assessment tool was built by extracting 8 sensibility factors of 'cozy', 'practical' 'cheerful', 'traditional', 'unique', 'congenial', 'sensuous', and 'gorgeous' in the exploratory factor analysis. The image scale was constructed in two-dimensions of the sense of space and the type of space for the residential interior space images. The dimension of the 'sense of space' is explained by the axis of open-closed and the dimension of 'type of space, is explained by the axis of 'natural-artificial'. Such a structural model of the residential interior design attributes were divided into 8 groups. And the 42 images representing each group were selected and the user-oriented residential interior space image tool was built by adding user's selective elements.

• Korean Institute of Interior Design Journal
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• v.19 no.5
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• pp.67-74
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• 2010

The purposes of this study are to investigate the dimensions of the sensibility towards a spatial environment perceived by the general public and to present the characteristics of various spaces through empirical analyses. A set of words are selected to describe visitors' perception of a spatial environment based on previous studies, and then they are arranged according to the degree of understanding and suitability. The results of the survey on the sensibility measurement can be summarized as follows: Factor analyses and cluster analyses are conducted on the indicators measuring the general public's perception of the exhibition hall of the Deoksugung Museum, and the following five dimensions are obtained: spatial value, spatial aesthetic, spatial affinity, spatial freshness, and spatial materials. The satisfaction level of visitors regarding the space of the exhibition hall under study is also investigated. A regression analysis is conducted to find a relationship between the satisfaction level of visitors (DV) and the five dimensions (IVs), and the analysis shows that there is a significant relationship. Among the five factors, the 'Spacial Value' and 'Spacial Affinity' are found to Significantly affect visitors' satisfaction. The results of this empirical study show that visitors' affinity towards the exhibition hall of the Deoksugung Art Museum along with the surrounding garden, as well as visitors' appreciation of the social, historical, and cultural value of Deoksugung Palace, are found to greatly affect visitors' overall satisfaction with the spatial environment of the museum.

• Korean Institute of Interior Design Journal
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• v.22 no.4
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• pp.113-120
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• 2013

This study aims to determine adolescents' emotional response and preferences for varying interior designs of learning spaces available at community facilities in apartment across Seoul. In particular, the subjects have been fragmented by gender and age for comparative analysis of emotional responses across different demographics of adolescents. A survey on the preferred designs of learning spaces in community facilities revealed that 'elegant,' 'cheerful,' and 'temperate' are the three main emotional words selected for image tool development. Emotional assessment verified the validity of these terms. Between the two genders, adolescent males preferred 'temperate' images more while adolescent females preferred 'cheerful.' In terms of the design of learning space, adolescent females deemed the interior atmosphere and area space to be the most important factors, while adolescent males pointed to the color of furniture and lighting to be the most important. Such results imply that there is a clear difference of emotional response between adolescent males and females. The results also imply that different atmospheres and design priorities must be considered when designing gender-specific spaces.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.475-479
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• 2005

Such changes that the digital paradigm brought propels a change of the value system itself in the existing society so that a way of thinking that differentiates oneself from others is getting much stronger. As public interests are higher in the image production on the internet, such authoring environments as development of related technologies, expansibility of information, and systematization of available information continue to change. Therefore, a variety of unique image presentations that fit to the changed environments are necessary and an expression method is indispensable for such image production. It suggests digital image application methods and examples that contain not just simple image distortion or variation but intrinsic significance. It is believed that it will be of good use to produce a variety of unique and innate digital images in the end.

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.4
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• pp.180-188
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• 2003

The vehicle simulator is a useful virtual reality system. The simulator enables engineers to effectively research and analyze various experiments. Therefore, the development of a specific vehicle simulator is required, and its performance must be verified. This paper verifies the performance of Pusan National University Vehicle Simulator. Human sensibility ergonomic tests of vehicle simulator were also executed. The sense of simulator motion was chosen as the standard of performance evaluation. The driver's senses were subdivided into senses of rectilinear and rotational velocities. This study extracted ergonomic sensibility words that can be used to evaluate the performance of the simulator As a practical application of simulator, the relation was studied between the sense of simulator motion and the characteristics of drivers, who are classified into their sexes and driving careers. A statistical method was applied to human sensibility ergonomic tests of vehicle simulator.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1122-1128
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• 2009

In cell phone, factor of external and internal are important. Many people look appearance at first time. The main aim of this study is to know users affect on weight of cell phone. For the evaluation based on weight of cell phone, 46 participants took part in this study. They carried four cell phone which different weigh. After that they made up questionnarie. The result, the people felt positive affect in a light cell phone and negative affect in weighty cell phone. They preferred a light cell phone. But there were not statistically meaning difference in affect of luxurious. It be used when the cell phone which has special target is made.

• Journal of The Korean Association of Information Education
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• v.6 no.3
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• pp.266-278
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• 2002

The purpose of this study is to help cultivating Children's sensibility through the development of typing program which shows vocabulary of sensibility. The characteristic of this typing education program is designed to finish the game when the children get the certain point by typing the words on the screen(from the top to the bottom) within the limit of time. For examples, adjectives in the Korean dictionary, the words of modern & traditional children's songs, imitative words and echoic words through this game, the children are fully aware of the meaningful words without realizing it. Through this game, the children are fully a ware of the meaningful words without recognizing it. After application of this typing education program children were fully aware of meaningful words more than meaningless words. After examining the survey of children we could discover that this typing program help cultivating children's sensibility.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.37-51
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• 2015

Due to the development of internet technology and the rapid increase of internet data, various studies are actively conducted on how to use and analyze internet data for various purposes. In particular, in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of the current application of structured data. Especially, there are various studies on sentimental analysis to score opinions based on the distribution of polarity such as positivity or negativity of vocabularies or sentences of the texts in documents. As a part of such studies, this study tries to predict ups and downs of stock prices of companies by performing sentimental analysis on news contexts of the particular companies in the Internet. A variety of news on companies is produced online by different economic agents, and it is diffused quickly and accessed easily in the Internet. So, based on inefficient market hypothesis, we can expect that news information of an individual company can be used to predict the fluctuations of stock prices of the company if we apply proper data analysis techniques. However, as the areas of corporate management activity are different, an analysis considering characteristics of each company is required in the analysis of text data based on machine-learning. In addition, since the news including positive or negative information on certain companies have various impacts on other companies or industry fields, an analysis for the prediction of the stock price of each company is necessary. Therefore, this study attempted to predict changes in the stock prices of the individual companies that applied a sentimental analysis of the online news data. Accordingly, this study chose top company in KOSPI 200 as the subjects of the analysis, and collected and analyzed online news data by each company produced for two years on a representative domestic search portal service, Naver. In addition, considering the differences in the meanings of vocabularies for each of the certain economic subjects, it aims to improve performance by building up a lexicon for each individual company and applying that to an analysis. As a result of the analysis, the accuracy of the prediction by each company are different, and the prediction accurate rate turned out to be 56% on average. Comparing the accuracy of the prediction of stock prices on industry sectors, 'energy/chemical', 'consumer goods for living' and 'consumer discretionary' showed a relatively higher accuracy of the prediction of stock prices than other industries, while it was found that the sectors such as 'information technology' and 'shipbuilding/transportation' industry had lower accuracy of prediction. The number of the representative companies in each industry collected was five each, so it is somewhat difficult to generalize, but it could be confirmed that there was a difference in the accuracy of the prediction of stock prices depending on industry sectors. In addition, at the individual company level, the companies such as 'Kangwon Land', 'KT & G' and 'SK Innovation' showed a relatively higher prediction accuracy as compared to other companies, while it showed that the companies such as 'Young Poong', 'LG', 'Samsung Life Insurance', and 'Doosan' had a low prediction accuracy of less than 50%. In this paper, we performed an analysis of the share price performance relative to the prediction of individual companies through the vocabulary of pre-built company to take advantage of the online news information. In this paper, we aim to improve performance of the stock prices prediction, applying online news information, through the stock price prediction of individual companies. Based on this, in the future, it will be possible to find ways to increase the stock price prediction accuracy by complementing the problem of unnecessary words that are added to the sentiment dictionary.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.217-224
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• 2006

As the online game which is possible of large-scale multiple access enjoys popularity, the number of development by many online game manufacturers came to increase exponentially. But, the reason why the qualitative expansion pace cannot follow the pace of the quantitative expansion on games is that most of them are paltry enterprises except the leading enterprises which are occupying few competitive advantages, so there is no well-established production procedure, and accurate test before the launch isn't accompanied. Therefore, it doesn't cope flexibly to the expectable results. Now, important function is not embodied through the game feature checking stage of the same feature or is under the situation being used in finding out the fatal error of the specific parts. To this, this study collects the emotional vocabulary in the games to suggest the evaluation system that can evaluate the emotion the user feels while playing the game with the usage of the evaluation system that is leaned toward the existing usage evaluation system, and through factor analysis, we classify them into interactivity, interface and information factors and suggest the emotion evaluation system while designing the evaluation questions according to it.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.585-592
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• 2017

As development of personal devices have made everyday use of internet much easier than before, it is getting generalized to find information and share it through the social media. In particular, communities specialized in each field have become so powerful that they can significantly influence our society. Finally, businesses and governments pay attentions to reflecting their opinions in their strategies. The stock market fluctuates with various factors of society. In order to consider social trends, many studies have tried making use of bigdata analysis on stock market researches as well as traditional approaches using buzz amount. In the example at the top, the studies using text data such as newspaper articles are being published. In this paper, we analyzed the post of 'Paxnet', a securities specialists' site, to supplement the limitation of the news. Based on this, we help researchers analyze the sentiment of investors by generating a domain-specific sentiment lexicon for the stock market.