• Journal of Music and Human Behavior
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• v.16 no.2
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• pp.109-132
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• 2019

This study aimed to investigate the relationship between music listening and mood regulation. The effects of personality traits, music education, and sex on music use for mood regulation were also examined. Participants were 529 undergraduate students who completed the Korean Music in Mood Regulation Scale, Interpersonal Personality Item Pool (IPIP), Positive Affect and Negative Affect Schedule, and a questionnaire on their music education. Correlation analysis, multiple regression analysis, and t tests were conducted to explore the relationship among the measured variables. The results showed that music listening was related to enhancement of positive mood but not improvement of negative mood. Participants who had received extracurricular music education were more likely to use music listening as a strategy to regulate their mood than were participants without music education. Women were more likely to use music for mood regulation than were men. The multiple regression results indicate that individuals who rated themselves highly on Agreeableness and Openness to Experience on the IPIP were more likely to listen to music for mood regulation. These findings stress that music listening can be an effective strategy for mood regulation, which is critical for one's emotional well-being. It also indicates that effective music use as a mood regulation strategy varies depending on one's personal characteristics and history of music education.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.393-396
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• 2016

정보화 시대에 들어오며 수많은 정보들의 폭발적인 증가로 인해 사용자들은 원하는 정보를 빠른 시간에 얻는 것이 어려워졌다. 그중 영화는 수없이 많은 정보를 누적해왔고 개인에 따라 선호하는 영화가 서로 다르기 때문에 각 개인에 맞는 영화를 찾는 것은 쉽지 않다. 본 논문에서는 협업 필터링과 개인의 감정을 이용하고 AWS(Amazon Web Service)를 통한 클라우드 컴퓨팅 시스템을 사용하여 각 개인에 더 적합한 영화 추천 시스템을 제안 한다.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.415-424
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• 2012

This paper tried to identify the impacts of emotional labor on burnout and job satisfaction in the casino industry. Prepared questionnaires were distributed to 300 sample employees working in domestic casino, then used for data analysis 300. The results of this study are as follows: Firstly, surface acting have a positive effect on emotional exhaustion, lack of accomplishment and depersonalization. But deep acting have a negative effect on emotional exhaustion. And deep acting, emotion control have a negative effect on lack of accomplishment and depersonalization. Secondly, surface acting have a positive effect on job environment. Also deep acting, emotion control have a positive effect on rewards and value sharing. And emotion control have a positive effect on work environment. Thirdly, deep acting have a negative effect on job environment. Also, surface acting have a negative effect on rewards and value sharing.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.25-38
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• 2019

For many years, emotions have been regarded as dangerous as well as obstructive to reason and rationality. Even in the history of dramatic genres based on human behavior, emotions are often portrayed as errors or flaws that lead to the collapse of characters, even though they are presented as powerful motives to evoke the characters' actions. Based on the development of the cognitive science field today, it is revealed how emotion is important for human thinking, judgment and action, and how closely reason and emotion are combined. This study examines emotions dealt with in drama genres on the basis of the sociality of emotions. Emotions also play a crucial role in the change and judgment of the audience of drama. This study examines the sociality of emotions and looks at the social aspect of individual emotions through the movie as a text. Just as horror movies attempt to communicate using and expanding feelings of fear, the movie uses the emotions of 'Sad' and 'Losing' to try to expand and share it. And I look into the mechanism in which the emotions of the characters in drama are transmitted to the audience in the form of empathy.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.16-18
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• 2001

사용자와 컴퓨터간의 자연스러운 상호작용을 위하여 Emotional 캐릭터 에이전트에 대한 연구가 지속되고 있다 어플리케이션에 Emotional 캐릭터 에이전트의 사용자인터페이스 적용은 사용자와 컴퓨터간의 자연스럽고 Personalized된 상호작용을 가능하게 한다. Personalized Emotional 캐릭터 에이전트에 대한 연구는 다음과 같다. 1) 사용자행위 정보를 이용한 캐릭터의 감정 생성연구 2) 블랙보드시스템을 이용한 감정추론 연구 3) 생성된 감정을 캐릭터의 행동표현으로 변화시키기 감정과 캐릭터 행동간의 연계 연구 4) Personalized Emotional 캐릭터 에이전트를 어플리케이션에 적용하는 연구

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.321-324
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• 2002

본 논문에서는 다양한 환경하에서 인간의 식별과 감정을 인식할 수 있는 감정 인식 알고리즘을 제안한다. 제안된 알고리즘을 구현하기 위해, 먼저, CCD 칼라 카메라에 의해 획득한 원 영상으로부터 피부색을 이용해 얼굴영상을 얻는 과정을 거친다. 그 다음, 주요 요소분석을 기본으로 하는 얼굴인식기술인 Eigenface를 사용하여 이미지들을 고차원의 픽셀공간으로부터 저차원공간으로의 변환하는 파정을 거친다. 제안된 개인에 대한 식별과 감성인식은 사용한 특징벡터들의 추출로 인한 Eigenface의 가중치와 상관관계를 통해 이루어진다 즉, 영상의 가중치로부터 개인에 대한 식별과 감성정보를 찾는 방법을 제안한다. 마지막으로, 실험을 통해 제안된 방법의 응용가능성을 보인다.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.485-492
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• 2001

Recently, character agents are used as a user-friendly interface. In this paper, we have studied a generic framework for emotional character agents which are designed to infer emotions from diverse personalities, situations, user behaviors and to express them. The method of emotion inference is based on blackboard systems which are used to solve the problems in AI. Because it keeps independence between knowledge sources which are rules of emotions, a blackboard-based inference engine is easy to manage knowledge sources, Blackboard-based systems gave the system flexibility. So we can adapt the engine to various application systems. Each emotional agent monitors user behavior, learns user profile and infers user behavior. And it generates characters emotions according to the user profile. So, in case of same situations, the agent can generate different emotions according to users. We have studied to build an personalized emotional character agent which according to situations and user modeling.

• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.133-141
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• 2015

Mass multimedia contents are shared through various social media servies including social network service. As social network reveals user's current situation and interest, highly satisfactory personalized recommendation can be made when such features are applied to the recommendation system. In addition, classifying the music by emotion and using analyzed information about user's recent emotion or current situation by analyzing user's social network, it will be useful upon recommending music to the user. In this paper, we propose a music recommendation method that makes an emotion model to classify the music, classifies the music according to the emotion model, and extracts user's current emotional state represented on the social network to recommend music, and evaluates the validity of our method through experiments.

• 한국벤처창업학회:학술대회논문집
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• 2017.11a
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• pp.63-69
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• 2017

2015년 기업생멸 행정통계에 따르면, 우리나라의 최근 5년 동안('2010~2014년) 연평균 창업은 77만개, 폐업은 69만개인 것으로 나타났다. 지난 2015년 한해에만 개인사업자로 106만8313명이 창업을 하고 73만9420명이 폐업을 했다. 이는 하루 평균 3000명이 창업을 하고 2000명이 문을 닫는 셈이다. 실패를 경험한 기업인들은 여러 가지 심리적, 경제적 어려움에 직면하게 된다고 연구 보고되고 있다. 이같은 결과는 사업실패를 경험한 기업인들에 대한 케어의 필요성을 보여준다. 지난 2010년부터 정부가 실패기업인들에 대한 재기지원사업에 나서고는 있으나 재창업지원제도의 효과성에 대해서는 보장하기 어려운 상태다. 일각에서는 재창업지원이 양적인면에서는 활성화됐으나 질적으로는 아직 미흡하다고 지적이 나오고 있다. 이같은 상황에 착안하여 본 연구는 사업실패를 경험한 기업인들이 겪게되는 심리적 특성과 재기를 하고자 할 때 방해요소로 작용하는 감정요인에 초점을 맞추고자 한다. 따라서 선행연구를 통해 사업실패를 경험한 기업인들의 감정메카니즘을 규명한 모델(건강신념 모델:Health Belief Model)을 적용한 창업실패관련 개인평가와 사업실패경험(재무적 손실, 비재무적 손실)이 재창업의도에 어떠한 영향을 미치는지 규명하고자 한다. 감정요인인 창업실패관련 개인평가는 지각된 심각성, 지각된 취약성, 지각된 장애로 구성했다. 또 창업실패관련 개인평가와 재창업의도 사이, 사업실패경험과 재창업의도 사이에 재창업지원정책, 창업자기효능감이 각각 조절작용을 하는지 유의미한 관계성을 알아보고자한다. 연구 대상은 정부 재창업지원 프로그램을 진행하고 있는 중소기업진흥공단, 서울산업진흥원, 재도전지원센터등 기관의 재창업지원을 받은 기업인을 대상으로 설문을 실시하여 이들이 재창업지원서비스를 받기 전과 후에 대한 측정을 통해 실증분석을 하려고 한다.이 연구가 설정한 가설이 맞을 경우, 시사점으로는 정부의 재창업지원 프로그램의 효과성에 대한 검증이 될 것이다. 또 창업실패관련 감정메카니즘 규명으로 사업실패 기업인들의 재기를 도울 수 있는 재창업지원정책의 고도화가 가능해 질 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.136-145
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• 2017

This study aimed to identify the relationship among employee-focused and job-focused emotional labor, emotional leadership, and burnout among emergency room nurses. Data were collected from 168 emergency nurses working at general hospitals in one metropolitan city and analyzed by descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficient using the SPSS/WIN program. According to the results, the mean scores of the employee-focused emotional labor scale were 3.51 points for superficial acting and 3.26 for deep acting. The mean score of the job-focused scale was 3.73 for frequency of emotional surface, 3.36 for duration of interpersonal interactions, and 3.46 for variety of emotional expressions. The mean score of the emotional leadership scale was 3.57, and the mean scores of the burnout were 4.59 for emotional exhaustion, 4.13 for depersonalization, and 3.60 for diminished personal accomplishment. Job-focused emotional labor scores were higher than employee-focused scores. Superficial acting and frequency of interactions in emotional labor were the most frequently performed by emergency nurses. Employee-focused and job-focused emotional labor showed a significantly partial correlation with emotional leadership and burnout. Based on the results, future research needs to develop effective strategies for managing emotional labor and burnout of nurses working in emergency rooms.