• Cartoon and Animation Studies
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• s.43
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• pp.321-342
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• 2016

The "uncanny valley" curve describes the measured results of the negative emotion response which depends on the similarity between the artificially created character and the real human shape. The "uncanny valley" effect that usually appears in the animation character design induces negative response such as fear and hatred feeling, and anxiety, which is not expected by designers. Especially, in the case of the commercial animation which mostly reply on public response, this kind of negative response is directly related to the failure of artificially created character. Accordingly, designers adjust the desirability of the character design by avoiding or utilizing the "uncanny valley" effect, inducing certain character effect that leads to the success in animation work. This manuscript confirmed the "uncanny valley" coefficient of the positive emotion character design which was based on the actual character design and animation analysis. The "uncanny valley" concept was firstly introduced by a medical scientist Ernst Jentsch in 1906. After then, a psychologist Freud applied this concept to psychological phenomenon in 1919 and a Japanese robert expert Professor Masahiro Mori presented the "uncanny valley" theory on the view of the recognition effect. This paper interpreted the "uncanny valley" effect based on these research theory outcomes in two aspects including sensation production and emotion expression. The mickey-mouse character design analysis confirmed the existence basis of the "uncanny valley" effect, which presented how mickey-mouse human shape image imposed the "uncanny valley" effect on audience. The animation work analysis investigated the reason why the produced 3D animation character should not be 100% similar to the real human by comparing the animation baby character produced by Pix company as the experimental subject to the data of the real baby with the same age. Therefore, the examples of avoiding or utilizing the "uncanny valley" effect in animation character design was discussed in detail and the four stages of sensation production and emotional change of audience due to this kind of effect was figured out. This research result can be used as an important reference in deciding the desirability of the animation character.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.2
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• pp.263-272
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• 1994

The purpose of this study was to identify factors that might distinguish those who have a high level of Intention to purchase each of domestic, foreign designer and national brand jeans from those who have a low intention in terms of evaluative criteria belief, ideal jeans image and clothing altitude. The sample consisted of 198 male and 197 female students from five universities in Seoul. The questionnnaire consisted of 50 seven-point semantic differential scales dealing with evaluative criteria and ideal jeans image, beliefs about and intention to purchase domestic, foreign designer and foreign national brand jeans and 25 Likert type clothing attitude scales. Based on a series of t-tests the results showed that color and design were the most influencing factor among the evaluative criteria belief, regardless of brand type, while durability, accessory, sewing were the least. Sexy image, brand consciousnees and fashion interest were the important factor that distinguish high intention to purchase group fro)m low intention to purchase group.

• Korean journal of communication and information
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• v.33
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• pp.115-167
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• 2006

The purpose of this study was to investigate coverage patterns of the Korean internet news media on 'US-Iraq War' and its meaning and discourse structure. The internet news media was recently established and become a popular news media to compete with old news media in Korea. The author selected the 'Oh My News' as a representative internet news media for his analysis, and collected its news items from Mar. 20, 2003 to Dec. 17, 2003. on the basis of 4 different phases of the war. He analysed the whole of news items with various semiotic and discourse analytic methods, especially applying for Bell's concepts of time and discourse structure. As a result of this study, first of all, it was found that the 'Oh My News' tended to cover this war so different ways as the old news media did. It did not pay attention to the procedure of war, especially, battlefields, fighting between US and Iraq, damages and casualties. But, instead, it paid attention to many doubts about intention of US government and the President, Bush, dichotomous shift between pro-America and anti-America, rightness of dispatching Korean army into Iraq, etc. Secondly, it functioned as a kind of alternative media to speak up different voices comparing with those of old media. It tended to suggest different perspectives and opinions, while the old media tended to follow American perspectives and opinions. Thirdly, it became as a kind of new media setting agendas for this war in Korean society. It played a very important role for setting agendas for various issues related with this war. In conclusion, the internet news media has recently become a kind of new news media for suggesting alternative or different opinions, setting agendas, initiating discourses, etc., even though it still has may problems of becoming so called orthodox news media.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.5
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• pp.636-643
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• 2009

This research was to find out what impacts do selection attributes of Jeju local folklore food by Jeju tourists provide on their behaviors. Multiple regression analysis was carried out using statistics package of SPSS+/WIN 12.0 to find out impacts of selection attribute factors of Jeju local folklore food on customers' satisfaction, re-visit, and intention by word of mouth. As the results, for factors with statistically meaningful impacts at the level of meaningfulness (p<0.05); level of satisfaction showed regression coefficient of 0.476 and t value of 5.198 in essential factors; auxiliary factors showed regression coefficient of 0.232 and t value of 2.808; and sensual (five senses) factors showed regression coefficient of 0.165 and t-value of 2.013. Also, for re-visit, essential factors showed impacts with regression coefficient of 0.413 and t-value of 3.540; factors of menu composition showed regression coefficient of 0.228 and t-value of 3.118; and auxiliary factors showed regression coefficient of 0.218 and t-value of 2.643. In positive word of mouth factors, auxiliary factors showed impacts with regression coefficient of 0.273 and t-value of 2.555; sensual (five senses) factors showed regression coefficient of 0.264 and t-value of 2.238; essential factor showed regression coefficient of 0.237 and t-value of 2.230 and factors of menu composition showed regression coefficient of 0.161 and t-value of 2.167. Therefore, in customer behaviors (customer satisfaction, re-visit, and positive word of mouth) regarding Jeju local folklore food by tourists who visited Jeju, local folklore and cultures did not impact on customer behaviors; also, it can suggested this thesis is meaningful as a study proving that the best marketing is focus on essential substances of food as indicated in existing researches.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.1-13
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• 2015

As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.4
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• pp.70-83
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• 2013

To widen prospect of villa as Korea traditional garden, the result of the research about constructional characteristics of Seogo-jeongsa and Sameun-jeong of Yeoju Lee family at Toero-ri, Miryang-si, Gyeongsangnam-do, Korea, is abstracted as below. Seogo-jeongsa(西皐精舍) and Sameun-jeong(三隱亭) was intended to practise retirement with sense of unity with the head residence, since Seogo-jeongsa was 340m far and sameun-jeong was 630m far away from head residence, which set within 1km. Although Seogo-jeongsa's basic prop, Sameun-jeong's timber, which are both from designer's pen name and head residence name, "Hangjae(恒齋)" and "Yongjae(庸齋)," and Hanseoam have each different exposure, it is homogeneous as space configurational side in order to optimize the gaze leading effect and appreciated domestic trees from the pond, which is center of the garden and the significant facility. Method of direction of Seogo-jeongsa's Hwalsudang(活水塘) and Sameunjeong's pond of Sameun-ji(三隱 池) gets attention by distinction. Especially, directing of 3 step water flow from behind to front and traditional pond method, called Bangji-Bangdo(方池方島), were very unique that any other place can be found. Also, the middle islet on the pond at both villa, which isn't more supper, but more for the symbolic molding that seek a stone pagoda(石假山), is more interesting directing method as considering the relationship of the 3 stone pagoda imageries on the surface of Ghwayukchon(果肉泉) At the same time, Seogo-jeongsa and Sameun-jeong shows very different characteristics from traditional villa that adopted both domestic trees and foreign trees. Particularly, it is extremely exceptional case to plant vigorous needleleaf tree, such as Chamaecyparis pisifera, C. obtusa, Pinus bungeana, P. palustris, Sciadopitys verticillata, Metasequoia glyptostroboides and Cedrus deodara, on Sameun-jeong. Moreover, adopting foreign wild needleleaf trees for landscaping trees, such as a Torreya nucifera, Taxus cuspidata, P. parviflora, and foreign landsacping trees, such as P. bungeana, Cryptomeria japonica and C. obtusa tells planting trend of the late Joseon dysnasty era. Also, as we can know from 2 Jipgyeong(集景), which is 'Seogo-jabyoung 17 young(西皐雜詠十七詠)', and 'Sameun-jeong 12 Gyoung(三隱亭十二景)' which are set on both villa, the intend to expand the garden area is strongly shown by the natural forest directing. As a result, Seogo-jeongsa and Sameun-jeong, located at Toero-li Miryang, are sharing the traditional Joseon dynasty era's custom, such as space and visual composition; however, it is different and attractive garden remains as a point of view of water directing, stone pagodas, and adopting foreign landscaping trees.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.195-209
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• 2021

According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.29-56
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• 2021

Recently, various types of products have been launched with the rapid growth of the e-commerce market. As a result, many users face information overload problems, which is time-consuming in the purchasing decision-making process. Therefore, the importance of a personalized recommendation service that can provide customized products and services to users is emerging. For example, global companies such as Netflix, Amazon, and Google have introduced personalized recommendation services to support users' purchasing decisions. Accordingly, the user's information search cost can reduce which can positively affect the company's sales increase. The existing personalized recommendation service research applied Collaborative Filtering (CF) technique predicts user preference mainly use quantified information. However, the recommendation performance may have decreased if only use quantitative information. To improve the problems of such existing studies, many studies using reviews to enhance recommendation performance. However, reviews contain factors that hinder purchasing decisions, such as advertising content, false comments, meaningless or irrelevant content. When providing recommendation service uses a review that includes these factors can lead to decrease recommendation performance. Therefore, we proposed a novel recommendation methodology through CNN-based review usefulness score prediction to improve these problems. The results show that the proposed methodology has better prediction performance than the recommendation method considering all existing preference ratings. In addition, the results suggest that can enhance the performance of traditional CF when the information on review usefulness reflects in the personalized recommendation service.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.39 no.2
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• pp.29-38
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• 2021

According to the theory of concentration recovery(ART), experiencing landscapes with healing properties can heal human mental fatigue caused by intentional concentration. The ART illustrates four healing qualities of the landscape. ART admits that various landscapes can have healing properties, the four healing properties of the landscape explained that the greater the perceptual strength, the stronger the healing effect. Until now, research on healing landscapes has been mainly done on natural and urban landscapes. The purpose of this study is as follows. First, eIt is intended to evaluate the healing characteristics of the Yangdong village landscape using RCS and investigate the impact of the healing characteristics on the visiting preference of the target landscape. Second, Evaluating the landscape image of Yangdong Village landscape, Investigating the effect of landscape images on the healing properties of landscape. This study was conducted in Yangdong Village, Gyeongju, 127 college students participated in the survey. SD 16 items to analyze landscape images and RCS 22 items from Laumann(2001) to evaluate healing properties were used as measurement tools. The findings are summarized as follows. First, The landscape image of Yangdong Village was analyzed through SD method, the analysis of the factors of Yangdong Village landscape image results in two factors: place and singularity. Second, It demonstrates the reliability and validity of RCS, Three factors were extracted from the factor analysis results. Third, Landscape images have a positive effect on the three healing characteristics of RCS. Fourth, Three healing properties of RCS have been shown to have a positive effect on visiting preferences, The order of influence on the relative visiting preferences was analyzed as attractiveness, fit, sense of escape, and sense of space. The findings suggest that future work requires research to re-validate the reliability of RCS. It is also necessary to analyze landscape images for various landscape types to specifically understand the effects on healing characteristics.

• The Korean Journal of Archival Studies
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• no.19
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• pp.103-151
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• 2009

Appraisal in electronic record environments is performed focusing on not content but function in which the records are created. Functional appraisal is practically supported in that electronic records composed of 0 and 1 of the bit-stream is unable to be evaluated individually. But the most important reason functional appraisal is performed in electronic record environments is that functional appraisal can select electronic records which assure business context and recordness, and need to run organization and perform business. In Korea, functional appraisal has adopted in course of renovation of national record and archive management system, but methods and logics of functional appraisal have numerous problems. To do so, this article discusses current appraisal system and methods of korea which has renovated confronting with electronic record environments, and then proposes the improvement directions on appraisal system and methods of Korea in electronic record environments from the perspective of long-term views. In this respect, this article proposes the improvement directions on current appraisal system and methods of Korea as follows. First, business functional analysis of each agency in functional appraisal should greatly strengthen. Second, it is necessary to devise proper methods for selecting primary values at current stage of electronic records, and to reinforce appraisal of records as knowledges and informations. Finally, functional appraisal, which inevitably carries out for appraising electronic records, has defects in aspect of selecting archives important in a national point of views. Therefore this article suggests the necessity of archival appraisal strategies that complement functional appraisal. This appraisal system is able to establish a base of the regime of archival appraisal which will harmonize primary value at current stage with secondary value at non-current stage in a national point of views.