• Journal of Digital Convergence
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• v.18 no.11
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• pp.81-86
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• 2020

Green consumption has drawn attention from various sectors of society recently. However, the "mismatch" of awareness and behavior remains despite consumers' heightened environment-friendly awareness. Based on the theory of emotional cognition and cognitive dissonance, This study examined the impact of consumers' expected guilt on green consumption intentions, and also introduced consumer cognitive utility to further uncover the mechanism in the process of influence by a survey of young Chinese people born after the 80s. Path analysis and hypothesis verification using AMOS showed that consumers' expected guilt not only directly affects the intention of green consumption, but also indirectly affects the intention of green consumption through the intermediation of cognitive utility.

• Korean Institute of Interior Design Journal
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• v.20 no.4
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• pp.54-62
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• 2011

Fast industrialization caused from Descartes' dichotomy has enormously developed our world, but endangered the ecosystem. In this study, the ecosystem aesthetics is not only a critique against existing growth-ideology and technical civilization, but also the art pursuing the life as an artistic state and achieving the dream for qualitatively different new future. Lao-tzu's Natural Beauty assumes that the adaptation to natural laws can lead every purpose's achievement. Based on such theoretical alternative, the earth construction as a medium for coexisting mankind, nature and construction interacts with the other objects through the natural affinity, the energy efficiency, the material generation. The earth construction provides the images of naivety, naturalness, folk as well as emotional stability in cultural terms. This study's direction and method are as follows. First, it researches the ecosystem aesthetics from the Taoism viewpoint, the alternative for environmental healing based on theoretical reviews about the ecosystem aesthetics. Second, it researches the earth construction's ecosystem aesthetic features and construction features from the low-tech aspect in continual construction genealogy. Third, it analyzes some cases targeting domestic buildings by drawing out expression methods and features through the connectivity of earth construction and ecosystem aesthetics. The earth construction lies between the heaven and the earth, but coexists in natural cycle. The earth construction caused from ecosystem aesthetics will be a future alterative, and various studies about its features and methods should be continued.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.802-816
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• 2010

To create gesture from a new text input is an important problem in computer games and virtual reality. Recently, there is increasing interest in gesture stylization to imitate the gestures of celebrities, such as announcer. However, no attempt has been made so far to stylize a gestures using emotion such as happiness and sadness. Previous researches have not focused on real-time algorithm. In this paper, we present a system to automatically make gesture animation from SMS text and stylize the gesture from emotion. A key feature of this system is a real-time algorithm to combine gestures with emotion. Because the system's platform is a mobile phone, we distribute much works on the server and client. Therefore, the system guarantees real-time performance of 15 or more frames per second. At first, we extract words to express feelings and its corresponding gesture from Disney video and model the gesture statistically. And then, we introduce the theory of Laban Movement Analysis to combine gesture and emotion. In order to evaluate our system, we analyze user survey responses.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1047-1050
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• 2015

Wearable device, along with IoT(Internet of Things), is considered the core of upcoming generation's convergence technology. Companies are intensely competing one another for prior occupation in the smartwatch market. Consumers that use smartwatch express their preferences by sharing their opinions through SNS(Social Networking Service). Through this study, emotions dictionary is built, which consists of attributes and emotional words related to smartwatch. Based on the emotions dictionary, SNS data has been categorized according to the attributes through opinion data model. Afterwards, overall polarity and attribute polarity of collected data are distinguished through natural language parsing, followed by an analysis of smartwatch reviews. This study will contribute to determination of which attributes of smartwatch to be improved, to arise consumer's interest for individual smartwatch.

• Journal of the Korean Society of Costume
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• v.57 no.8
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• pp.89-98
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• 2007

Women are playing an increasing role in the society amid the increase in the age at first marriage, reduced family size, and the weakening solidarity among family members. Gold Miss is a newly coined word which reflects the change in the value of women in the wake of the individualism and pluralism amid the structural change. Gold Miss means a new X generation that is sensitive to the latest fashion and trend with high purchasing power and self-attainment goal. They do not spare any effort to invest in themselves, lead the new culture and set the cultural trend that goes beyond the simple consumption, and come into the spotlight both socially and economically. The outcome of the analysis on the Gold Miss fashion which was revealed in the mass media indicated that the fashion was the instrument to express their own images and personalities. Though they may be some difference depending on the occupation, personality, values, and others, they pursue sophisticated, intellectual, and emotional office-look that takes the trend and personality into account. In addition, they prefer business casual attire, and pursue the total fashion with perfection which uses the gorgeous bright and vivid color, daring color, accent color arrangement and accessories. The Gold Miss fashion implies the self-identity, high-end feature, and embody the symbolism of information, which the analysis on the feature and fashion of Golden Miss indicated.

• Journal of Korean Critical Care Nursing
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• v.10 no.1
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• pp.13-30
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• 2017

Purpose: The purpose of this study was to integrate the results of qualitative studies to understand critical care survivors' experience of the post-intensive care syndrome (PICS). Methods: This was a meta-synthesis of primary studies that used qualitative methods. We reviewed 26 qualitative studies on PICS selected from 8 international and Korean databases and from a manual search. Thomas and Harden's 3 stages (free coding, development of descriptive themes, generation of analytical themes) for thematic synthesis were utilized to analyze the collected qualitative data. Results: Four descriptive themes emerged from the thematic synthesis: weak physical conditions, psycho-emotional changes, the painful-memory of intensive care units, and social vulnerability. The analytical theme for the current study was "unfamiliarity with the vulnerable self." Critical care survivors had to confront entirely different "selves" after discharge from intensive care units. They had become physically weak, psychologically unstable, and the critical memories continued to create distress. These changes increased their social vulnerability by making them dependent on others, causing family conflicts, and changing interpersonal relationships. Conclusions: Finding from this qualitative synthesis and other related literature highlight the severity of PICS and the importance of rehabilitative intervention for critical care survivors.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.311-318
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• 2013

For face detection techniques, the correctness of detection decreases with different lightings and backgrounds so such requires new methods and techniques. This study has aimed to obtain data for reasoning human emotional information by analyzing the components of the eyes and mouth that are critical in expressing emotions. To do this, existing problems in detecting face are addressed and a detection method that has a high detection rate and fast processing speed good at detecting environmental elements is proposed. This method must detect a specific part (eyes and a mouth) by using Haar-like Feature technique with the application of an integral image. After which, binaries detect elements based on color information, dividing the face zone and skin zone. To generate correct shape, the shape of detected elements is generated by using a bezier curve-a curve generation algorithm. To evaluate the performance of the proposed method, an experiment was conducted by using data in the Face Recognition Homepage. The result showed that Haar-like technique and bezier curve method were able to detect face elements more elaborately.

• Korean Journal of Social Welfare
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• v.42
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• pp.41-82
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• 2000

The purpose of this study is to provide empirical findings about intragenerational and intergenerational discrepancies in eldercare attitude and behavior in Korea. Specifically, intragenerational discrepancies refer to phenomena in which eldercare attitude and behavior diverge from each other within the caregiving and care-receiving generations, respectively. Intergenerational discrepancies, on the other hand, refer to two kinds of phenomena, one in which eldercare attitudes are different between caregiver and care-receiver and the other in which eldercare behavior is differently recognized between the two parties. For the last couple decades, these kinds of discrepancies tended to be simply assumed without any coherent theoretical and/or empirical rationales. Thus, the current study tried to investigate the degree, pattern, and characteristics associated with the discrepancies. Analysis of data collected from 276 matched pairs of caregivers (i.e., daughters-in-law) and care-receivers (i.e., the elderly) in Kwangju and its suburb areas has indicated a substantial amount of both intra- and inter-generational discrepancies. In other words, both caregivers and care-receivers were found to be experiencing huge discrepancies between attitude and behavior in their respective generation: the factual discrepancies in attitude between the two generations were quite salient: the cognitive discrepancies in behavior between them were salient, too. In addition, it was also found' that the extent to which the discrepancies became salient differed for the three subdimensions of eldercare (i.e., emotional, economic, and physical care), and that such discrepancies have intimate relationships with a set of sociodemographic characteristics for caregivers - notably, age, educational attainment, area of residence, household income - on the one hand, and those for care-receivers - notably, gender, age, educational attainment, cohabitation, family size, inheritance, owned property - on the other. A series of theoretical, empirical, and clinical implications stemming from the findings were suggested and fully discussed in the context of Korean society.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.9-19
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• 2019

The effects of artificial intelligence technology is social science research as research on the impact on industry and changes in daily life, etc. This means that developing 'emotion AI' will prepare 'next-generation 3D-vector-sensitive AI'. This suggests the main keywords of the tertiary AI decision-making power. Particularly important results will be achieved because of the importance of current unethical learning and the implementation of decision-making systems that reflect ethical value judgments. This is a data based simulation, and required (1)Available data, (2)the technology for the goal of simulation. This takes into account the general content of the intended simulation based research. Currently, existing researches focus on meaningful research motivation, but this study presents the direction of technology. So, empirical analysis is consistent with the decision-making power of each country vs. new technology firms for AI on ehtic responsibility. As a result, there is a need for a concrete contribution and interpretation that can be achieved for the ethic Responsibility, on the technical side of AI / ML. In AI decision making, analytic power of human empathy should be included tech own trust.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.193-198
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• 2019

In smart cities around the world, urban environments have become more convenient due to information and communication technology(ICT). However, extant studies reveal that the level of life satisfaction of citizens has not improved compared to that of the pre-smart city and citizens are skeptical about the role of the smart city. This is largely because local culture and needs were neglected during the planing and development of the smart city. The research was conducted on Cambodia as a pilot site and our findings indicate that middle age group's population is significantly small and the society is at risk of losing its culture. Therefore, this paper opens up various ways of embedding cultural programs using technology in order to pass down cultural heritage to young generation, provide an emotional attachment to the inhabitants and further build up a new phase of cultural legacy. This will engender cultural uniqueness to the city and intrigue tourists around the world resulting in the growth of the tourist industry. This research will contribute locally by providing a sense of community to the public and globally by suggesting applicable methodology to other cities that are under the similar context.