• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.899-904
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• 2005

Necessity of the service-on-demand that reflect a personal characteristic of a customer was increased by an aggravation of web service competition. So a study on a customization is being performed actively. The common customization system supporting of the personalization is performed through the computational data like individual characteristic or preference. Various studies on the service that used emotional information were performed. But we can't use this emotional information in the web system because of characteristics of emotional information system In this study, we design the adaptive customization system that used emotional information of the customer and analyse the system by experiments.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.5
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• pp.116-123
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• 2003

These days, the researches related with the emotional robots are actively investigated and in progress. And human language, expression, action etc. are merged in the emotional robot to understand the human emotion. However, there are so many sound sources and background noise around the robot, that the robots should be able to separate the mixture of these sound sources into the original sound sources, moreover to understand the meaning of voice of a specific person. Also they should be able to turn or move to the direction of a specific person to observe his expression or action effectively. Until now, the researches on the localization and separation of sound sources have been so theoretical and computative that real-time processing is hardly possible. In this reason for the practical emotional robot, fast computation should be realized by using simple principle. In this paper the methods for detecting the direction of sound sources by using the phase difference between peaks on spectrums, and the separating the sound sources by using fundamental frequency and its overtones of human voice, are proposed. Also by using these methods, it is shown that the effective and real-time localization and separation of sound sources in living room are possible.

• The Journal of Korean Association of Computer Education
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• v.10 no.4
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• pp.125-133
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• 2007

Many researches have tried to introduce affective computing for Human-Computer Interaction (HCI). In the affective aspect, emotional memories significantly affect on people's cognitive processing activities. In this paper, to observe the effect of affective feedback for emotional state of learners in an e-learning environment, selected emotional feedback messages and delivery method are integrated into an e-learning system. Self reporting button for recognizing learner's emotional state are used for detecting learner's emotional states and the test results show that providing affective feedback to learner has positive effects in e-learning environment in terms of learner's academic achievements.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.84-91
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• 2021

The purpose of this study is to investigate the structural relationship between resort selection attributes, emotional responses, and empirical values of scuba diving participants. The general population who enjoys scuba diving in Korea was selected as the population. Using the convenience sampling method, 553 of the 600 questionnaire samples were extracted as the final valid sample. For data processing, frequency analysis, exploratory factor analysis, and Cronbach's α test were performed using SPSS 23, and confirmatory factor analysis and structural equation model analysis were performed with AMOS 18. The results are as follows: First, among the sub-factors of selection attributes, equipment, facility environment, and diving point showed a positive effect on emotional response, but staff service did not have any significant effect. Second, the emotional response positively affected by the selection attribute showed a positive effect on all factors of service excellence, consumer utility, fun value, and aesthetic value of empirical value. Therefore, scuba diving resort managers must recognize the importance of equipment, facility environment, and diving point among these selection attributes of customers. And to satisfy the customer needs the resort must accurately identify the needs for diving equipment, facility environment and diving point. Various methods for this should be explored through the needs of the identified customers, and efforts should be made to provide safe equipment, comfortable facilities, and various diving points.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.245-253
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• 2014

The purpose of this study is to investigate how the emotional labor and emotional intelligence of nurses working at a general hospital affect their job stress, and how the integration factor of emotional labor and emotional intelligence affects their job stress. The subjects of research were the nurses working at general hospital in Seoul city from March 11-29, 2013. The collected data was analyzed after computerized statistical processing using SPSS 18.0 and AMOS 18.0. It was found that the frequency of emotional expressions, one of emotional labor variables, significantly negatively influenced job stress(${\beta}=-.301$, p<.01), and that the attention required for the norms of emotional expressions significantly positively affected job stress(${\beta}=.277$, p<.01). Among emotional intelligence variables, understanding of self-emotion and control of emotion were found to significantly negatively affected job stress. Given the study result, in order to alleviate nurses' job stress, it is necessary to have positive emotional expressions with patients, come up with a plan to show nurses' emotions which they fail to express because of the norms of emotional expressions in hospital, and make their effort to improve understanding of their own emotions and the capability of controlling emotions.

• Korean Institute of Interior Design Journal
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• no.38
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• pp.217-224
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• 2003

The purpose of this study is to analyze the recent trend color of bathroom based on analysis result of digital color image processing, to analyze the emotional color of that, and to suggest the harmony color combination for the bathroom. It leads to the two final results. That is, the main color of bathroom image is recognized as three color classifications such as YR-Y, Y-GY, PB-P, 2) from the point of emotional aspect, the trend color of the bathroom can be classified into four image categories: 'modern', 'mild', 'elegant', 'natural'. Finally, under these categories, this paper propose 12 color harmony schema which can be applied to color in, especially bathroom Interior design.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.914-917
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• 2019

SNS 의 발전으로 기업이나 공공단체는 소셜 데이터가 가지고 있는 감성이나 의견, 여론 등을 분석해서 신흥 가치를 창출하려 한다. 소셜 데이터를 기반으로 하는 감성 분석은 사람들의 소비 측면 및 제품 평가 파악은 물론 기업 매출 및 정책 수립 등에서 도움이 된다. 하지만 소셜 데이터는 각종 신조어 및 이모티콘이 다수 포함되어 있어 기존 감성 분석 방법으로는 정확한 분석을 하기 어렵다. 이러한 문제를 해결하기 위해 본 논문에서는 신조어 및 이모티콘 감성 사전을 구축하고, 분석 과정에서 기존 감성 사전과 본 논문에서 구축된 신조어 및 이모티콘 감성 사전을 사용하여 감성 분석 정확도를 비교한다.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.352-368
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• 2021

Sign-in point of interest (POI) are extremely sparse in location-based social networks, hindering recommendation systems from capturing users' deep-level preferences. To solve this problem, we propose a content-aware POI recommendation algorithm based on a convolutional neural network. First, using convolutional neural networks to process comment text information, we model location POI and user latent factors. Subsequently, the objective function is constructed by fusing users' geographical information and obtaining the emotional category information. In addition, the objective function comprises matrix decomposition and maximisation of the probability objective function. Finally, we solve the objective function efficiently. The prediction rate and F1 value on the Instagram-NewYork dataset are 78.32% and 76.37%, respectively, and those on the Instagram-Chicago dataset are 85.16% and 83.29%, respectively. Comparative experiments show that the proposed method can obtain a higher precision rate than several other newer recommended methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1030-1033
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• 2013

면접자나 면접관이나 인재들이 해당 조직에서 일을 해보지 않고서는 조직문화와 직무에 적합한지에 대해 확신 할 수 없고 만약 적합하지 않다면 면접자나 조직이나 서로 피해를 입는 상황이 발생한다. 이러한 상황들을 개선하기 위해 감성 어휘를 기반으로 한 이미지 스케일과 감성어휘 분류 시스템을 분석한다. 또한 면접자들의 이력서와 자기소개서에 있는 단어들을 분석하여 조직문화와 해당 직무에 적합한 인재 선발에 참고 자료를 제공할 수 있는 감성 어휘를 기반으로 한 인재 검색 시스템에 기초가 되는 이미지 스케일과 감성 어휘 분류체계에 대해 연구한다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.4
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• pp.328-334
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• 2016

The everyday life of police officers requires them to face a number of criminal acts and enter compromising crime scenes. In this case, officers may be compelled to make a personal expression of negative emotions. Negative emotions of members confidence for effective job processing and contributions duties and achievement of the job within the marine police force. Therefore, to control the emotive dissonance of organization members is a great help to the development of the organization. This study focuses on emotional dissonance among marine police officers to verify the impact of this dissonance on job burnout and consider the mediating effect of emotional intelligence. Research results are as follows: First, the relationship between emotional dissonance sub-factors and job burnout among marine police officers was studied. It was found that marine police did not feel emotionally jarred because they consciously tried to abstain from emotional engagement, but this was found to reduce emotional intelligence as related to desired emotions as well. Second, Emotional intelligence of the Marine Police was found on a significant impact on job burnout. Third, the impact of emotions in relation to emotional dissonance that job burnout of marine police intelligence officials confirmed that there is a statistically significant mediating effect. Finally, in a comparison of direct effects versus mediated effects, marine police were seen to be prone to emotional dissonance and experienced job burnout as a direct result of applying greater emotional intelligence.