• 공학교육연구
• /
• 제18권6호
• /
• pp.64-69
• /
• 2015

A video-work story analysis system based on emotional state measurement includes a content provision unit which provides story content of a video-work, a display unit which displays content provided by the content provision unit, an emotional state measurement unit which measures a tense-relaxed emotional state of a viewer viewing the displayed story content, a story pattern analysis unit which analyzes the tense-relaxed emotional state measured from the emotional state measurement unit according to a scene in the story content provided by the content provision unit, and a story pattern display unit which prints out an analysis result or displays the analysis result as an image. The emotional state measurement unit measures a tense or relaxed emotional state through one or more analyses among a brainwave analysis, a vital sign analysis, or an ocular state analysis. A writer may obtain support in an additional scenario modification work, and an investor may obtain support in making a decision through the above description. Furthermore, the video-work story analysis system and analysis method based on emotional state measurement may extract a particular pattern with respect to a change in an emotional state of a viewer, compile statistics, and analyze a correlation between a story and an emotional state.

• 대한간호학회지
• /
• 제36권5호
• /
• pp.845-852
• /
• 2006

Purpose: The purpose of this study was to investigate the emotional state and related factors in patients with lymphedema. Methods: The subjects of this study consisted of 95 patients with lymphedema at 8 hospitals in Busan and Seoul. Data was collected by a self-administered questionnaire between March 2001 to December 2001. Data was analyzed by Pearson correlation coefficient, and stepwise multiple regression using SPSS Win 12.0. Results: The mean score of the emotional state of the subjects was 3.06; of their physical symptoms, 1.84; of their Activities of Daily Living(ADLs), 2.30; and of their social activities, 3.67. The emotional states of lymphedema patients correlated with their physical symptoms, their ADLs, and their social activities. The Factor influencing the emotional state of the subjects was social activities. Conclusion: These results suggest that a negative emotional state is very common in patients with lymphedema, to which appropriate attention should be given. Rehabilitation programs must be implemented to improve lymphedema patients' emotional state, physical symptoms, ADLs, and social activities.

• 감성과학
• /
• 제9권4호
• /
• pp.321-329
• /
• 2006

최근 들어 인간과 컴퓨터 상호작용 분야에서 기존의 인지적인 측면 이외에 감정의 역할에 대한 관심이 증폭되고 있는 추세이다. 본 연구에서는 사용자가 좁은 화면을 통해 의사 결정을 위한 정보검색을 수행 할 때 감정 상태에 따라 정보 검색 패턴이 달라지는지를 알아보고자 하였다. 본 실험에서 실험참가자들의 감정 상태를 긍정적 혹은 부정적 상태로 유도하기 위해 긍정적인 감정과 부정적인 감정을 유발시킬 수 있는 음악을 듣게 하였고 동시에 자신의 과거 기억으로부터 긍정적인 감정 혹은 부정적인 감정을 유발시킬 수 있는 자서전적 회상 과제를 수행하도록 하였다. 감정 유발 과정이 끝난 뒤 각 실험 참가자들은 작은 디스플레이를 통해 세 나라들에 대한 여행 정보를 검색하여 가장 선호하는 여행지를 선택하였고, 실험참가자들이 탐색한 링크들의 경로 및 각 링크에 머무른 시간 등이 실시간으로 기록되었다 실험결과 긍정적인 감정 상태에서는 중립 상태와 부정적인 감정 상태에 비해 보다 신속한 정보탐색이 이루어지는 것으로 나타났고, 중립 상태와 부정 감정 상태에서는 긍정 감정 상태에 비해 세부 항목에 상대적으로 많은 양의 인지적 자원을 할당하는 것으로 나타났다.

• 웰빙융합연구
• /
• 제4권1호
• /
• pp.1-10
• /
• 2021

Purpose: The study sought to uncover the effect of emotional labour strategies (surface acting and deep acting) on job satisfaction and emotional exhaustion. The study also purposed to analyse the moderating effect of organisational support (supervisory support and co-worker support) and the role of gender on emotional labour connotations. Research design, data and methodology: A conceptual framework was developed using extant literature which led to the examination of deep acting and surface acting, which are the two main strategies of emotional labour. The outcome variables were emotional exhaustion and job satisfaction. Data was collected from front line employees of banks and was analysed using SEM-AMOS version 21. Results: It was revealed, in this study, that surface acting is inversely related to job satisfaction and positively related to emotional exhaustion, whereas deep acting was positively related to job satisfaction and inversely related to emotional exhaustion. The roles of gender and organisational support were also confirmed. Conclusions: The study therefore concluded that deep acting is the most ideal strategy of emotional labour as it leads to job satisfaction and reduced emotional exhaustion. Surface acting is a harmful emotional labour strategy.

• 대한인간공학회지
• /
• 제31권3호
• /
• pp.427-435
• /
• 2012

The aim of this study is to investigate facial temperature changes induced by facial expression and emotional state in order to recognize a persons emotion using facial thermal images. Background: Facial thermal images have two advantages compared to visual images. Firstly, facial temperature measured by thermal camera does not depend on skin color, darkness, and lighting condition. Secondly, facial thermal images are changed not only by facial expression but also emotional state. To our knowledge, there is no study to concurrently investigate these two sources of facial temperature changes. Method: 231 students participated in the experiment. Four kinds of stimuli inducing anger, fear, boredom, and neutral were presented to participants and the facial temperatures were measured by an infrared camera. Each stimulus consisted of baseline and emotion period. Baseline period lasted during 1min and emotion period 1~3min. In the data analysis, the temperature differences between the baseline and emotion state were analyzed. Eyes, mouth, and glabella were selected for facial expression features, and forehead, nose, cheeks were selected for emotional state features. Results: The temperatures of eyes, mouth, glanella, forehead, and nose area were significantly decreased during the emotional experience and the changes were significantly different by the kind of emotion. The result of linear discriminant analysis for emotion recognition showed that the correct classification percentage in four emotions was 62.7% when using both facial expression features and emotional state features. The accuracy was slightly but significantly decreased at 56.7% when using only facial expression features, and the accuracy was 40.2% when using only emotional state features. Conclusion: Facial expression features are essential in emotion recognition, but emotion state features are also important to classify the emotion. Application: The results of this study can be applied to human-computer interaction system in the work places or the automobiles.

• Asia Marketing Journal
• /
• 제16권4호
• /
• pp.39-57
• /
• 2015

Ever since Hochschild (1983) introduced the concept of emotional labor in the workplace, it has constantly interested researchers due to its impact on employees' well-being as well as organizational outcomes. However, a thorough understanding of emotional labor and its relationship with various outcomes in sales people is not yet realized. In a systemic approach to the concept using quantitative methods is still necessary. The present study treats emotional labor as two factors (e.g. emotive dissonance and emotive effort). The psychological and behavioral outcomes of each sub-construct of emotional labor are investigated within a parsimonious framework. The findings suggest that emotional dissonance affected job satisfaction, while emotive effort had a significant influence on emotional exhaustion and job performance.

• 여성건강간호학회지
• /
• 제15권4호
• /
• pp.280-293
• /
• 2009

Purpose: This study was to identify the relationship between physical suffering, emotional state, and nursing needs of pregnant women in preterm labor and the difference depending on general characteristics. Methods: The participants in this descriptive survey, selected by convenience sampling, were 126 pregnant women who were hospitalized after being diagnosed with preterm labor at 3 university hospitals. Results: The level of personal hygiene was assessed in physical suffering, level of fear was assessed by the emotional state, and level of perterm labor was assessed by the nursing cares. In the analysis, physical suffering, emotional state, and nursing needs in the subjects all showed a significantly positive correlation. Differences in physical suffering, emotional state, and nursing needs depending on general characteristics were as follows; age, job, family type, economic condition, smoking, drinking admission days, previous delivery type, and artificial insemination. Conclusion: Based on the results of this study, the nurse should focus on the domain of personal hygiene, and teaching contents specific for abdominal breathing exercises for relieving the women's fear and anxiety should be added.

• 한국실내디자인학회:학술대회논문집
• /
• 한국실내디자인학회 2002년도 춘계학술발표대회 논문집
• /
• pp.48-52
• /
• 2002

Nowadays, the color of the interior effects people's thought, behavior and even the psychological state and this led to the presence of emotional design. The color is perceived as the main image of the apartment, and if applied from the early state of designing it can create a more rational and emotional interior. The purpose of this study is to understand the emotional factors by color taste characteristic and the application to living space. The living space of apartments will express people's emotion more aggressively and variously in the coming years.

• 디지털융복합연구
• /
• 제16권4호
• /
• pp.313-319
• /
• 2018

본 연구는 최근 방송, 영화 등에 활발하게 사용되고 있는 드론의 무빙 영상이 수용자의 몰입도와 흥미 유발, 감정상태 등에 미치는 영향을 살펴본 실험 연구이다. 그동안 미디어 영상 효과 연구들은 영상의 움직임이 스토리 자체에 내재되어 있는 느낌을 주기 위해서 카메라의 움직임을 자제하는 것이 좋으며, 카메라의 움직임이 오히려 수용자의 자연스러운 시청에 방해가 될 수 있다고 주장하고 있다. 본 연구에서는 드론의 움직이는 영상이 시청자의 몰입도, 흥미 유발, 감정 상태 등에 어떤 영향을 미치는지 알아보기 위해서, 대학생들을 두 그룹으로 나누고, 한 그룹의 피실험자들에게는 무빙 중심으로 편집된 드론 영상물을 보여주고, 다른 한 그룹의 피실험자들에게는 호버링 중심으로 편집된 드론 영상물을 각각 보여준 다음, 설문조사를 통해 이들이 느낀 몰입도, 흥미도, 감정상태 등을 측정하고, 측정한 결과를 변량 분석하였다. 분석 결과, 드론의 움직임이 있는 영상물을 감상한 피실험자들은 드론의 움직임이 없는 영상물을 감상한 피실험자들에 비해, 흥미를 더 많이 느끼고, 긍정적인 감정상태를 더 많이 느낀것으로 나타났다. 그러나 드론의 무빙과 피실험자들의 몰입도 간에는 서로 관련이 없는 것으로 나타났다.

• 한국컴퓨터정보학회논문지
• /
• 제20권10호
• /
• pp.69-76
• /
• 2015

User's selection of music is largely influenced by private tastes as well as emotional states, and it is the unconsciousness projection of user's emotion. Therefore, we think user's emotional states to be music itself. In this paper, we try to grasp user's emotional states from music selected by users at a specific context, and we analyze the correlation between its context and user's emotional state. To get emotional states out of music, the proposed method extracts emotional words as the representative of music from lyrics of user-selected music through morphological analysis, and learns weights of linear classifier for each emotional features of extracted words. Regularities learned by classifier are utilized to calculate predictive weights of virtual music using weights of music chosen by other users in context similar to active user's context. Finally, we propose a method to recommend some pieces of music relative to user's contexts and emotional states. Experimental results shows that the proposed method is more accurate than the traditional collaborative filtering method.