• Journal of the Korean Institute of Landscape Architecture
• /
• v.31 no.1
• /
• pp.1-10
• /
• 2003

The purpose of this study is to categorize a landscape adjective list for urban landscape analysis. For this purpose, four methods are used. The first method is to survey the foreign landscape adjective lists such as Feimer's EACL & LACL, VRM suggested vocabulary, and IEA and LI's aesthetic factors, which are commonly used in domestic research. The second method is to analyze vocabulary in Korean linguistic textbook the third is to investigate Korean adjective lists from 36 domestic research. The last is to survey adjectives used to express the urban landscapes. 24 landscapes from BunDdang, GwaCheon, YakSoo and ApGuJeong were presented to 40 subjects, whose responses were collected and categorized. The frequency analysis of the adjectives and landscape factors were processed by SJTOOL, which was programmed for Korean vocabulary analysis. The results of this study can be summarized as follows: Foreign adjective lists were mainly focused on the physical features of landscapes and they also had linguistic problems caused by the translations. Therefore, it is undesirable to use the foreign adjective list directly to analyze Korean urban landscapes. The vocabulary from the linguistic textbook has more variety, but it includes many adjectives irrelevant to the urban landscape. More types of adjectives were used in the researches(890 adjectives/295 types), compared with the result of response survey(1,406 adjectives/270 types). Because some adjectives were partly confusing, it is desirable to categorize the adjectives. The categorized adjectives could therefore be more useful and practical for urban landscape analysis.

• Journal of Korean Society of Rural Planning
• /
• v.28 no.3
• /
• pp.25-33
• /
• 2022

Due to the standardized urban development since the industrial era, many urban spaces have experienced non-placeness. Recently, although interest in urban landscape, history, and cultural elements has been increasing, landscape management and control measures are being implemented mainly in large cities due to the low status of rural areas in the country. From this point of view, this study tried to lay the foundation for basic research in related fields by classifying the characteristics and types of streetscapes located near large cities, and to suggest directions that should be considered when managing streetscapes in the future. As a result of the analysis of landscape adjectives, the village felt secluded due to the low density compared to the city street overall, but it did not have a unique image of the region. Three factors were derived through factor analysis, and preference was affected in the order of aesthetic, regularity, and uniqueness. In addition, the research site was classified into three types through cluster analysis, and it was confirmed that the differences by type were due to aesthetics and naturalness. On the other hand, the uniqueness is generally low in all regions, so it seems that fundamental countermeasures are needed.

• Archives of design research
• /
• v.20 no.3 s.71
• /
• pp.49-60
• /
• 2007

As the world is in the age of globalization and information, we observe diverse changes in the market environment. Since wide-spread internet services and global networks made ubiquitous learning and business possible, equalizing consumers' ideology and preference, new trend and life style could be introduced easily. This study stipulates on the theoretical concept of the wellbeing consumer and LOHAS consumer. Consumers of LOHAS could be sampled out through pre-questionnaire targeting at selected food, clothing, and shelter based on companies of both wellbeing and general brands. Through this it is attempted to measure wellbeing emotion, recognition quotient of emotion and reason, affirmation and negation, mental emotion quotient, and preference in order to find out their value and to ultimately come up with what web design should be aiming at. Conclusions are as follows: Firstly, consumers easily recognize emotional identification from the web pages of wellbeing brand, rather than that of general brands. Secondly, what web pages of wellbeing brand recognize is reason, not emotion. Thirdly, the design of wellbeing brands scored higher than those of general brands in terms of positive aspects such as hospitality and familiarity, and high mental emotion quotient could not affect the consumers' preference toward web design. Fourthly, wellbeing brands win more preference than general brands do, and preference becomes higher after customers' visit to web pages basically. Lastly, sampled emotional adjectives toward the web designs of wellbeing brands marked a aesthetic graph figure, without leaning toward an active or stable one. It is expected that this study can serve as a groundwork to create proper strategies to actively involve consumers in industrial sphere.

• Science of Emotion and Sensibility
• /
• v.9 no.spc3
• /
• pp.187-196
• /
• 2006

This study has showed verified results on 'Survey into Observer Preference for Table Decoration for Eating and Drinking'. It is a preliminary study to look into interrelation of preference to color tables, image adjectives, aesthetic value, by giving color changes in a certain regularity to each influential factor in functional table decoration. The result has demonstrated that, as for color image and preference,'observers prefers mid/low dark-toned brown which gives a feeling of 'high-quality, and like to eat', and orange tone with a fooling of 'warm and colorful'. In evaluating interrelation between preference and aesthetic value, the study has revealed that ordinary people take the influential factor of 'unity and Gestalt' seriously, while non-professionals preferred 'uniqueness'. Stimulant No. 7 is one of constituent factors of functional table decoration, eliciting significance of images on colors ant aesthetic value. This study also has practical problems about insufficiency or inadequateness in producing mood suitable to T P O, according to depending upon color changes in picking up stimulants, or other problems in selecting stimulants, according to time, seasons and generational parameter in which the inquiry is conducted, but it will serve as a stepping stone for developing new design using both qualitative and quantitative data in 려nctional table decoration.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.32 no.12
• /
• pp.1950-1962
• /
• 2008

Today the importance of color image is increasing for the brands as well as the products. This study was performed to classily the color image of baby's wear brands and to suggest how the color is effectively planned for the image. In order to classify the color image of 7 baby's wear brands, color palettes of 7 brands were also made by 6 subgroups, each season(summer, fall) by gender(boy, girl, new-born) and based on manufactured garments which were collected by on-line shops. Questionaries were organized with 40 pieces of the color palettes prints for 6 subgroups by 7 brands and 20 baby's wear image adjectives. The total 320 copies were used in the survey to students majored in fashion design. Questionaries were analyzed by factor analysis from SPSS 12.0 package program. There are 4 main factors for the color images of baby's wear brands, 'liveliness', 'loveliness', 'chic', 'neatness'. Not hue, but tone is more important to express the characteristics of color images of baby's wear brands. Also white and black are importantly used for baby's wear. The consistency of the brand color image across gender and season is very important to identify and strengthen the color image of brand.

• Journal of KIISE:Computing Practices and Letters
• /
• v.6 no.3
• /
• pp.364-372
• /
• 2000

Subcategorization, defining dependency relation between predicates and their complements, is an important source of knowledge for resolving syntactic and semantic ambiguities arising in analyzing sentences. This paper describes a Korean subcategorization dictionary, particularly annotated with semantic roles of complements coupled with thesaural semantic hierarchy as well as syntactic dependencies. For annotating roles, we defined 25 semantic roles associated with surface case markers that can be used to derive semantic structures directly from syntactic ones. In addition, we used more than 120,000 entries of thesaurus to specify concept markers of noun complements, and also used 47 and 17 predicate patterns for verbs and adjectives, respectively, to express dependency relation between predicates and their complements. Using a full-fledged thesaurus for specifying concept markers makes it possible to build an effective selectional restriction mechanism coupled with the subcategorization dictionary, and using the standard predicate patterns for specifying dependency relations makes it possible to avoid inconsistency in the results and to reduce the costs for constructing the dictionary. On the bases of these, we built a Korean subcategorization dictionary for frequently used 13,000 predicates found in corpora with the aid of a tool specially designed to support this task. An experimental result shows that this dictionary can provide 72.7% of predicates in corpora with appropriate subcategorization information.

• Information Systems Review
• /
• v.17 no.1
• /
• pp.49-64
• /
• 2015

Customer reviews which include subjective opinions for the product or service in online store have been generated rapidly and their influence on customers has become immense due to the widespread usage of SNS. In addition, a number of studies have focused on opinion mining to analyze the positive and negative opinions and get a better solution for customer support and sales. It is very important to select the key terms which reflected the customers' sentiment on the reviews for opinion mining. We proposed a document-level terms-based sentiment classification model by select in the optimal terms with part of speech tag. SVMs (Support vector machines) are utilized to build a predictor for opinion mining and we used the combination of POS tag and four terms extraction methods for the feature selection of SVM. To validate the proposed opinion mining model, we applied it to the customer reviews on Amazon. We eliminated the unmeaning terms known as the stopwords and extracted the useful terms by using part of speech tagging approach after crawling 80,000 reviews. The extracted terms gained from document frequency, TF-IDF, information gain, chi-squared statistic were ranked and 20 ranked terms were used to the feature of SVM model. Our experimental results show that the performance of SVM model with four POS tags is superior to the benchmarked model, which are built by extracting only adjective terms. In addition, the SVM model based on Chi-squared statistic for opinion mining shows the most superior performance among SVM models with 4 different kinds of terms extraction method. Our proposed opinion mining model is expected to improve customer service and gain competitive advantage in online store.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.1
• /
• pp.75-83
• /
• 2015

As the importance of realistic game character in order to cause the interest of player is increased, it is necessary to develop the character that acts like a man by applying the human characteristics in the step of game character design. Formerly, there is a limit to create the human-like character because there is no set the character's personality in the game developing level. In this paper, therefore, we propose the correlation between Five Factor Model and Ego-state for game character. Five Factor Model and Ego-state are theories about person's characteristic. Five Factor Model is personality description method. Ego-state has an emphasis on internal mental processes directly from observable behaviors. In this regard, these theories could be used to the character defined its personality and designed to act by personality. To do this, it needs to determine the relations between Five Factor Model and Ego-state. Therefore we seek for the relations between two theories using Adjective Check List(ACL) and analysis their results with surveys. In the future, it is expected to construct a personality model using these analysis results, and develop the character based on realistic behavior.

• Science of Emotion and Sensibility
• /
• v.18 no.1
• /
• pp.79-94
• /
• 2015

The purpose of this study is to analyze the emotion and sensibility of fashion words in terms of words types, such as loanword and Korean words, Hangul in fashion product label and fashion manufacturing industry. We surveyed 200 persons in their 20s using the questionnaire on the stimulus of product tag label and fashion words with 15 adjectives. Based on daily usage of foreign words in fashion market, we selected 1 item label in 3 forms: 1) Hangul label written in loan words 2) Label written in English and 3) Label written in Hangul and 3 fashion words in 2 forms 1) loanword and 2) Hangul. And the label types and fashion words were analyzed and investigated in terms of consumer's sensibility, preferences and estimated product price. The results are following: consumers preferred loanword label than Hangul label, and they preferred loanword in English than that in Korean. They evaluated loanword more positively, such as refinement, gorgeous and elegant, etc. and estimated the product price of loanword label as higher. But in the sensibility of 'familiar' and 'stability', Hangul label was not significantly different to loanword written in Hangul. That is, label written in English is the highest in all the evaluation, and loanword label written in Hangul is next, and Hangul label showed the lowest result. Consumers showed the evaluation differently between loanwords and Hangul according to their degree in fashion involvement. Consumers of high fashion involvement evaluated the sensibilities of 'refinement', 'elegant', and 'gorgeous' of loanwords as higher, whereas they had tendency to evaluate the sensibilities of 'familiar' and 'stability' of Hangul as higher or similar.

• 대한공업교육학회지
• /
• v.35 no.2
• /
• pp.25-42
• /
• 2010

This research aims to understand how students of technical high schools view 'engineering' as well as to identify the main elements that contribute to the perception on 'engineering.' The research targets are 695 senior students of technical high schools nationwide. The researcher developed the measuring tool for the experiment by referencing the adjective value criteria utilized in the semantic difference method developed by Osgood (1957). There were a grand total of 30 criteria following the preliminary studies. The results of the research are as follows. Firstly, the average value of the overall perception of technical high school students on 'engineering' is 4.27 points. This value just exceeds the standard (4 points). Secondly, when examining the general tendency it can be noticed that there is a sense of stigma that although 'engineering' is significant and valuable it is a field that is overly difficult, complex and even dangerous. Thirdly, 6 main elements that influence the perception on 'engineering' were extracted as results of the factor analysis. The first element is practicality; the second element is emotions; the third element is aesthetics; the fourth is simplicity; the fifth is responsibility; and finally the sixth element is assertiveness. Fourthly, when comparing the average values of the perception on 'engineering' by region, it was seen that there existed a difference on the perception towards 'engineering' based on differing regions.