• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.1-11
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• 2021

The domestic content market has grown continuously. Furthermore, content consumption has rapidly increased in the COVID-19 era. For these reasons, it is necessary to investigate consumer behavior related to content business. This study focuses on content names as a key factor that induces consumers' interest in the content. In particular, this research examines if the conceptual fluency of the content name affects consumers' liking for the content. In addition, it explores the moderating effect of style of information processing (verbalizer vs. visualizer). The results of an experiment shows that the conceptual fluency on the content name is positively influential for liking content. Also, there was a significant interaction effect between verbalizers and conceptual fluency on content name. This study has important findings in terms of content marketing strategies. Above all, it has strong points because this research examines the style of information processing as an important consumer characteristic variable.

• Annual Conference of KIPS
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• 2002.04b
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• pp.1049-1052
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• 2002

기존의 키워드 추출 방법은 출현회수(frequency)에 기반한 가중치(weight) 부여 방식이 많이 쓰였다. 본 논문에서는 HTML 문서와 같이 스타일이 적용된 문서의 경우 출현회수와 함께 단어에 적용된 스타일을 고려하여 가중치를 부여해 키워드를 추출하는 방법을 제안한다. 가중치를 부여할 스타일 항목과 항목별 가중치 부여방법을 정의하고 이를 단어별로 합산하고 정규화(normalization)하는 방법을 정의하여 스타일에 기반 해 키워드를 추출하였다. 내용이 특정된 도메인으로부터 순위(ranking)가 매겨진 도메인 키워드 리스트를 뽑아서 이를 기준으로 삼아 기존의 출현회수 기반의 키워드 추출 방식과 양적, 질적인 비교를 수행하여 우월함을 보였다.

• Journal of Korea Multimedia Society
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• v.22 no.12
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• pp.1447-1456
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• 2019

As artificial intelligence technology is actively used in image processing, it is possible to generate high-quality fake images based on deep learning. Fake images generated using GAN(Generative Adversarial Network), one of unsupervised learning algorithms, have reached levels that are hard to discriminate from the naked eye. Detecting these fake images is required as they can be abused for crimes such as illegal content production, identity fraud and defamation. In this paper, we develop a deep-learning model based on CNN(Convolutional Neural Network) for the detection of StyleGAN fake images. StyleGAN is one of GAN algorithms and has an excellent performance in generating face images. We experiment with 48 number of experimental scenarios developed by combining parameters of the proposed model. We train and test each scenario with 300,000 number of real and fake face images in order to present a model parameter that improves performance in the detection of fake faces.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.65-76
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• 2001

This study investigated the relationships between hypermedia users information processing styles and navigational patterns. Three aspects of navigational patterns were investigated: (a) navigational breadth patterns which reveal how comprehensively users access, (b) navigational path patterns which display what sequences users follow. and (c) navigational method patterns which show what methods u users employ when using the system. Information processing styles were measured by the Human Information Processing Styles(HIPS) Survey. The subjects were 102 undergraduate students enrolled in management courses at a university. Participation was voluntary 34 students were selected for each of left, right, and integrated information processor group. The subjects interacted with A.g.i.l.e. TrainerTM program to complete two types of searching tasks 'open-ended and closed-ended tasks' Findings indicated that the information processing style seems to play an important role in how an individual interacts with the hypermedia systems.

• Journal of the Korean Institute of Landscape Architecture
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• v.17 no.3
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• pp.9-20
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• 1990

The objective of this study is to test the applicability of the Information processing model suggested by Kaplan to the preferences of Korean people as well as to investigate the preference patterns of Korean people and the influencing factors on Korean preferences for the landscape. Photo - questionnaire survey was conducted twice to collect the data concerning the landscape preferences. The samples of the first survey were selected from the citizens of Seoul and the students of Seoul National University. The first survey focused on the preference patterns of Korean people while the emphasis of the second survey was given to the test of information processing model and the influencing factors on the preferences of Korean people. The samples of second survey were also selected from the students of Seoul National University. The photos in the photo - questionnaire for the first survey included the scenes representing both three landscape styles(Korean, Japanese and Western styles)and three landscape qualities such as the layout of space, the use of landscape plants and the use of stones and rocks. For the second survey, four informational factors such as complexity, coherence, legibility and mystery were selected for inclusion in the photos of photo - questionnaire. Respondents for both survey were asked to respond their preferences on the five - point Likers scale. The results of the study suggested that four informational factors influence significantly the preferences of Korean students. The study indicated that both the citizens of Seoul and the students of Seoul National University prefer water and vegetation to rock among the contents of landscape. Among the landscape styles, Japanese landscape style was most preferred and Western landscape style was more preferred than Korean traditional landscape style. In addition to informational factors, it was found that the contents of landscape and landscape style were also major influencing factors on the landscape preferences. The socio - economic backgrounds of respondents such as age, foreign travel experience, income, residency before the age 14, familiarity and respondent's experties in landscape architecture seemed to Influence the landscape preferences.

• Journal of Gifted/Talented Education
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• v.21 no.1
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• pp.175-191
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• 2011

This study is to investigate the creative thinking style and it's leaning that normal students and scientifically gifted students use mainly at processing information. Right Brain vs Left Brain Creativity Test(R/LCT) and Brain Preference Indicator(BPI) is taken to investigate the creative thinking style of normal students(N=144) and scientifically gifted students(N=97). In the R/LCT, the normal students responded that they prefer to use right-brain thinking rather than left-brain thinking. But the scientifically gifted students prefer to left-brain thinking. The normal students showed most preference for Holistic Processing of right side brain and they did most avoiding for Verbal Processing of left side brain. The scientifically gifted students showed most preference for Logical Processing of left side brain. And they did most avoiding for Random Processing of right side brain. There was a meaningful difference between left side brain preference group and right side brain preference group on Sequential, Symbolic, Logical, Verbal, Random, Intuitive, Fantasy-oriented Processing of normal Students. But the scientifically gifted students showed a meaningful difference in right side brain processing mainly. In other word, all the scientifically gifted students took an lean processing in Logical, Symbolic, Linear Processing, etc. In sum, the scientifically gifted students are unequal in at processing information against the normal students. So it is required more appropriate teaching-learning method based on the creative thinking style and it's leaning for effective gifted education.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.6 s.154
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• pp.992-1000
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• 2006

The main purpose of this research is to develop the methodology of objective evaluation of clothing appearance by eye movement analysis. The visual clothing items used in this study were skirt, one-piece, pants and shirt with the style variation of silhouette and details. By observing eye movement during visual evaluation of clothing, we can achieve the basic fixation data of eye movement. Moreover, we developed the Matlab program to extract the fixation coordinate and number of eye fixation on each part of the clothing item. As results, there were differences in the duration of fixation time for each item and the fixation time was not different by styles within a clothing item. However, we could find differences in the fixation time within a style, in other words, we could select the important parts of the clothing by observing the fixation time in a certain clothing item. It is also noted that time required in visual information processing differs depending on the item, and there was a region which contain more information independent with styles in the same item. By developing the objective method of visual evaluation that correspond to human's visual information processing, the results are expected to be applied in the retrieval program in internet shopping mall or in the development of contents for advertisement of clothing.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.6
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• pp.61-67
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• 2004

We propose a new algorithm to generate additional training patterns using the brain-style information processing algorithm, that is, supervised and unsupervised learning models. This will be useful in the case that we do not have enough number of training patterns because of limitation such as time consuming, economic problem, and so on. We adopt the independent component analysis as an unsupervised model for generating exempalr patterns and multilayer perceptions as supervised models for verifying usefulness of the generated patterns. After statistical analysis of the proposed pattern generation algorithm, we verify successful operations of our algorithm through simulation of handwritten digit recognition with various numbers of training patterns.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.65-73
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• 2021

This study investigated differences in learning styles and learning strategies according to learning factors: major fields, achievements, and grades and differences in learning strategies according to learning styles for college students. Unlike previous studies that analyzed differences focused on the dominant learning style, the learning style was subdivided into a balanced and dominant learning style. In the analysis of the 179 participants in M colleges, it was found that the difference between the learning style and the learning strategy according to the learning factors was not significant. But, there was a significant difference in the use of cognitive strategies according to the learning style in the dimension of information input, and in the use of all strategies according to the information processing style. It was analyzed that active learners had a high level of using cognitive strategies, visual learners had a high level of using external strategies, and balanced learners had a high level of using internal strategies. Based on the results, the training strategies to understand the learning style and to improve the level of use of the learning strategy in the learning competency improvement program was proposed.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.2 s.344
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• pp.22-26
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• 2006

Symmetric cryptographic algorithm is incongruent in network environment by absence of authencation in spite of advantage of easy etc. on data processing and implementation of high speed. Therefore, proposed merging style authentication algorithm that use MAC and MDC so that symmetric cryptographic algorithm can achieve authentication. Proposed algorithm made security can wide of secure communication channel as to achieve authentication to cryptographic algerian itself not that act independently of symmetric cryptographic algorithm.