• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.134-144
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• 2008

A city is the center of all the economic activities, politics, administration and creation of cultures, and it is also a social community. It is also an environment in which human beings live and act, and thus, psychological and emotional pleasure are greatly demanded. Facilities of cities, buildings and harmonizing each and every structures with the environment sets up the image and the identity of a city because they are the most important visual structuring elements in cityscapes. Currently, most of the cities in Korea including Seoul, are in discordance with their natural environment because of all different sorts of buildings and signboards are jumbled up close together. The traditional, local colors have disappeared form those cities and all cities look the same. It is hard to find traditional beauty and identities of the cities in Korea, and the Korean cities are not even close to the threshold of other foreign cities. In order to solve these problems, there is a dire need of improving the modification of cityscapes in the long run. This research aims to understand the current abstruse situation Korean cities are in, analyze their problems and describe actual methods of improving those cities so that they can have a more ordered and organized structures. Also, this research should be used as a data of future researches based on citiscapes.

• Science of Emotion and Sensibility
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• v.4 no.2
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• pp.57-62
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• 2001

In the car design process, Interior color scheme is one of the important factors that determined consumer's emotional evaluation with a car styling. The systematic research on the car interior color planning may be not achieved in spite of its importance because it is difficult to simulate color scheme before deciding final prototype. The various alternative of color scheme can be simulated and evaluated in early stage of car design process based on upgraded performance of computer hardware and advance41 co-work system. This study proposed a color coordinate support system for car interior color design to support designer based on emotional scale of color image. Color coordinate support system have four kinds of module, that is, the information acquisition module for gathering user's emotional data, the evaluation module for analyzing relation of color impressions and color attributes, the simulation module for supporting color coordinate design, and the evaluation support module for testing final color alternatives.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.397-414
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• 2016

There will be coming soon a sequence of the so-called election season in Korea. That is the 20th session of general elections and the 19th presidential election which are taking place one after another. When we talk about presidential candidate, we may realize that the choice were relied upon candidate's facial appearance and speech, voice, dress, and so on. One poll showed that capacity and policy were ranked high and figure and image were ranked next by asking "what is the most important factor when you vote for the president?" This study looked into the candidate's face of a newly elected public office through the election voting. I studied how the factors of sex and beauty may affect on the election results. I analyse survey of candidate's photo on the election leaflets. Analyzed result said that candidate's competency and trust have strong relations in the voting choice rather than beauty even if it is statistically significant. I also find that both beauty and competency are positively interrelated.

• Management & Information Systems Review
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• v.34 no.3
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• pp.1-16
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• 2015

This study holds various implications and usefulness toward nurses as well as hospitals in that the study empirically found out the relations among hospitals' ethical climates, employee engagement (job engagement and organizational engagement) and intention to quit. The study shows that nurses' awareness of principles of responsibilities and benevolent ethical climates impact on enhancing organizational engagement and lowering intention to quit. Internally, employees are encouraged to make decisions accompanying fairness and responsibility and thus, shared values will be created between hospitals and nurses, while it will contribute to create a good image of the hospital to the public. However, it is also revealed that climates deficient in ethics, such as a climate of selfishness, have strong negative influences on workplace attitude of nurses. Therefore, recognizing importance and effectiveness of ethical climates, hospitals should underscore personal ethics of managers and nurses, and should go further to exert strategic efforts on the organizational level to create ethical hospital climates where nurses can naturally take ethical actions.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.49-57
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• 2021

With the advent of the era of the fourth industry, more and more scientific techniques are being used to solve decision-making problems. In particular, big data analysis technology is developing as it becomes easier to collect numerical data. Therefore, in this study, in order to overcome the limitations of qualitatively analyzing investment trends, the association of various products was analyzed using associated analysis techniques. For the experiment, two experimental periods were divided based on the COVID-19 economic crisis, and sales information from individuals, institutions, and foreign investors was collected, and related analysis algorithms were implemented through r software. As a result of the experiment, institutions and foreigners recently invested in the KOSPI and KOSDAQ markets and bought futures and products such as ETF. Individuals purchased ETN and ETF products together, which is presumed to be the result of the recent great interest in sector investment. In addition, after COVID-19, all investors tended to be passive in investing in high-risk products of futures and options. This paper is thought to be a useful reference for product sales and product design in the financial field.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.173-182
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• 2021

In this paper, we analyzed driver's and passenger's motions that cause driver's distraction, and recognized 10 driver's behaviors related to mobile phones. First, distraction-inducing behaviors were classified into environments and factors, and related recent papers were analyzed. Based on the analyzed papers, 10 driver's behaviors related to cell phones, which are the main causes of distraction, were recognized. The experiment was conducted based on about 100,000 image data. Features were extracted through SURF and tested with three models (CNN, ResNet-101, and improved ResNet-101). The improved ResNet-101 model reduced training and validation errors by 8.2 times and 44.6 times compared to CNN, and the average precision and f1-score were maintained at a high level of 0.98. In addition, using CAM (class activation maps), it was reviewed whether the deep learning model used the cell phone object and location as the decisive cause when judging the driver's distraction behavior.

• Journal of Industrial Convergence
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• v.16 no.1
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• pp.27-33
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• 2018

Today, each company focuses on maximizing customer satisfaction by providing the best service. This study examined the effect of coffee shop on customer satisfaction. In addition, we examined the effect of customer satisfaction on revisit intention and word of mouth. The results of this study are as follows: First, in order to investigate the satisfaction of customers using coffee specialty shops, data were gathered through questionnaires and 142 customers were analyzed using statistical analysis, It is important to have a positive image of the company and to influence the decision to repurchase, and should not overlook the role of generating new customers through word of mouth. Second, customers tend to be price-oriented, practical and reasonable. To meet these customers' needs, it is important to attract a large number of products at the same time to attract customers.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.27-33
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• 2021

With increasing interest in key areas of the 4th industrial revolution such as artificial intelligence, deep learning and big data, scientific approaches have developed in order to overcome the limitations of traditional decision-making methodologies. These scientific techniques are mainly used to predict the direction of financial products. In this study, the factors of apartment prices, which are of high social interest, were analyzed through SOM. For this analysis, we extracted the real prices of the apartments and selected a total of 16 input variables that would affect these prices. The data period was set from 1986 to 2021. As a result of examining the characteristics of the variables during the rising and faltering periods of the apartment prices, it was found that the statistical tendencies of the input variables of the rising and the faltering periods were clearly distinguishable. I hope this study will help us analyze the status of the real estate market and study future predictions through image learning.

• Science of Emotion and Sensibility
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• v.15 no.3
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• pp.389-398
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• 2012

Virtual worlds have pursued reality as if they actually exist. In order to evaluate the sense of reality in the computer-simulated worlds, several subjective questionnaires, which include specific independent variables, have been proposed in the literature. However, the questionnaires lack reliability and validity necessary for defining and measuring the virtual realization. Few studies have been conducted to investigate the effect of visual factors on the sense of reality experienced by exposing to a virtual environment. Therefore, this study was aimed at reinvestigating the variables and proposing a more reliable and advisable questionnaire for evaluating the virtual realization, focusing on visual factors. Twenty-one questions were gleaned from the literature and subjective interviews with focused groups. Exploratory factor analysis with oblique rotation was performed on the data obtained from 200 participants(females: 100) after exposing to a virtual character image described in an extreme way. After removing poorly loading items, remained subsets were subjected to confirmatory factor analysis on the data obtained from the same participants. As a result, 3 significant factors were determined to efficiently measure the virtual realization. The determined factors included visual presence(3 subset items), visual immersion(7 subset items), and visual interactivity(4 subset items). The proposed factors were verified by conducting a subjective evaluation in which participants were asked to evaluate a 3D virtual eyeball model based on the visual presence. The results implicated that the measurement method was suitable for evaluating the degree of the virtual realization. The proposed method is expected to reasonably measure the degree of the virtual realization.

• Journal of the Korean Geographical Society
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• v.43 no.6
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• pp.981-1001
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• 2008

This research deals with cognitive characteristics of point symbols on the current tourist maps in terms of the communication theory in considering levels of symbolization and those of preference. The levels of symbolization are examined on the basis of the meaning of point symbols between map-makers and map-users. Preferences of point symbols are investigated by the tourist objects. As a result, when point symbols are expressed in conciseness, the meaning and interpretation about those symbols are highly accorded. And the point symbols that have familiarity by visual experience are preferred. Also, the higher symbolical levels symbols have, the more likely they are preferred. Through that fact, familiarity from the visual experience, conciseness in expression, concreteness of figures expressed in maps, and representativeness of visualized properties were deduced as factors that affect preferences. Those factors work to affect preference complicatedly, but familiarity is prior to simplicity in preferences. Likewise, ways that visualize information, contents that are expressed as images and familiarity in terms of cognitive characteristics make a relative difference in preferences and the levels of symbolization. On the basis of those cognitive characteristics, visual complexity and ambiguity should be removed and the higher symbolical level of point symbols for efficiency of map-reading should be developed.