• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.281-291
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• 2017

Emotional interaction in virtual reality is necessary of social communication. However, social emotion has been tried to be less recognized quantitatively. This study was to determined social gaze of emotion in business domain. 417 emotion words were collected and 16 emotion words were selected to Goodness of Fit. Emotion word were mapped into 2 dimensional space through multidimensional scaling analysis. Then, X axis defined dimensions of cooperation, competition, and Y axis of low focus and high focus through the FGD. 52 subjects were presented to stimuli for emotion and gaze movement data were collected. Independent t-test results showed that the gaze factor increased in the face, eye, and nose areas at cooperation, and the gaze factor increased in the right face and nose areas at the low focus. It is expected that this will be used as a basic research to evaluate emotions needed in business environment in virtual space.

• Korean Journal of Cognitive Science
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• v.15 no.2
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• pp.1-15
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• 2004

The structure of sensibility from motion was developed for the purpose of understanding relationship between sensibilities and physical factors to apply it to dynamic visual display. Seventy adjectives were collected by assessing adequacy to express sensibilities from motion and reporting sensibilities recalled from dynamic displays with achromatic color. Various motion displays with a moving single dot were rated according to the degree of sensibility corresponding to each adjective, on the basis of the Semantic Differential (SD) method. The results of assessment were analyzed by means of the factor analysis to reduce 70 words into 19 fundamental sensibilities from motion. The Multidimensional Scaling (MDS) technique constructed the sensibility space in motion, in which 19 sensibilities were scattered with two dimensions, active-passive and bright-dark Motion types systemically varied in kinematic factors were placed on the two-dimensional space of motion sensibility, in order to analyze important variables affecting sensibility from motion. Patterns of placement indicate that speed and both of cycle and amplitude in trajectories tend to partially determine sensibility. Although color and motion affected sensibility according to the in dimensions, it seemed that combination of motion and color made each have dominant effect individually in a certain sensibility dimension, motion to active-passive and color to bright-dark.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.243-252
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• 2014

Many researches about the effect on politics, economics and Sociocultural phenomenon using the social media are in progress. Authors utilized NAVER Trend most famous web browsing service in korea, NAVER Blog social media, NAVER Cafe service and Open Data(API) and also used temperature, humidity index data of Korea Meteorological Administration. This study analyzed a change of the public's emotion in korea using Cluster analysis of vocabulary of taste among its of feelings and senses. K-means clustering was followed by decision of the number of groups which was used Chi-square goodness of fit test and ward analysis. Eight groups was made and it represented sensitive vocabulary. By Discriminant analysis, eight groups decided by Cluster analysis has 98.9% accuracy. The change of the public's emotion has capability to predict people's activity so they can share sensibility and a bond of sympathy developed between them.

• Science of Emotion and Sensibility
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• v.25 no.4
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• pp.33-44
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• 2022

Rental services have recently come to be provided in which people can experience traditional Korean culture in the form of Hanok villages, allowing everyone can easily rent and wear hanbok, a traditional Korean garment, regardless of gender and age. Users of hanbok rental services share photos of themselves wearing hanbok on social media, contributing to the increasing popularity of hanbok experiences. However, the trend of wearing hanbok has no become established in people's daily lives, apart from the specific places that offer hanbok experiences. To promote hanbok as everyday clothes, hanbok design should be developed to provide wearers with both convenience and emotional satisfaction. Using 28 emotion words that express consumers' emotions toward hanbok that were extracted from previous studies, this study measured consumers' emotions toward different types of hanbok with on a seven-point Likert scale. Emotion words and categories that obtained scores of five points or above, signifying a rating of "felt fairly" or higher in relation to specific hanbok types were extracted. This study also examined differences in the average scores for emotional categories according to hanbok types and gender. The results indicated that only average scores for the "favorable feeling" category showed a significant difference between men and women. Finally, differences in the average scores for emotional categories were examined by classifying hanbok types: traditional (e.g., baenaet-jeogori, saekdong-jeogori, traditional hanbok for adults, and traditional wedding clothes) and modern (e.g., daily hanbok for children, for women, and for men). The results indicated significant differences between traditional and modern hanbok in six emotional categories (i.e., the cheerful, esthetic, harmonious, fresh, favorable, and stable feeling). This study derived analytic results for terms related to emotions that hanbok wearers feel according to types of hanbok. The findings can be used by hanbok retailers and rental services to provide consumers with greater emotional satisfaction.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.568-570
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• 2004

기존의 컬러 기반 감성시소러스 구축에서는 감성 어휘 관계 생성을 위해 IRI에서 개발한 단색이미지 스케일을 사용하여 컬러를 표현하였다. 그리고 컬러에 따라 연상되는 형용사를 단색 이미지 스케일에 배치하여 형용사 이미지 스케일의 공간관계를 생성하였다 즉, 컬러를 보고 연상되는 이미지를 형용사로 표현하고 색의 고유한 관계를 공간상에 배치하여 컬러 값에 따른 형용사를 매핑하였다. 이는 단순히 컬러의 관계만을 이용한 설정으로 의미적 감성어 표현에는 한계가 있었다. 이에 본 논문에서는 HP사의 'The Meaning of Color'표를 이용하여 컬러에 따른 감성 이미지를 정의하고, 정의된 어휘간의 의미적 표현을 위해 유의어, 동의어 관계 등을 포함한 WordNet 구조를 기반으로 새로운 감성어 관계 생성 방안을 제안한다. 방안을 제안한다.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.633-635
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• 2018

최근 소셜 커머스 데이터를 이용하여 상품에 대한 소비자들의 수요와 선호도 등을 조사하는 등의 감성분석 연구가 활발히 진행되고 있다. 본 연구에서는 Stacked Bi-LSTM-CRF 모델을 이용하여 한국어의 복합적인 형태로 이루어지는 감성표현에 대하여 어휘단위로 감성분석을 진행하고, 상품의 세부주제(특징, 관심키워드 등)를 추출하여 세부주제별 감성 분석을 할 수 있는 방법을 제안한다.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.541-548
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• 2020

Interest in emotions continues to rise around the world, including Korea, and in recent years, new styles such as new-tro, a new term referring to 'gaem-seong' of the social networking service generation, have emerged. Considering the strong influence of emotion on time and the environment, it is necessary to recognize the public's emotion about the current new style. Thus, in this study, 12 emotional vocabulary words were selected from the nine products applied with the new-tro style: want, cute, happy, pleasure, unique, cool, stylish, pretty, fun, like, joy, and special. According to the analysis of the survey, men's emotions were higher in order of "funny-cute-happy," and women's emotions were higher in order of 40s, 30s, 50s and 20s. Emotional vocabulary extracted from this study can be used to evaluate the sensitivity of objects to which the new-tro style is applied and will be utilized as specific emotional evaluation data through the analysis methods presented.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.83-84
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• 2011

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.79-80
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• 2012

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.1-21
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• 2016

IT-based subjective well-being (SWB) services, a main part of wellness IT, should measure the SWB state of individuals in an unrestrained, cost-effective manner. The dictionaries for sentiment analysis available in the market may be useful for this purpose, but obtaining proper sentiment values using only words from the sentiment lexicon is impossible; therefore, a new dictionary including wellness vocabulary is needed. The existing sentiment dictionaries link only a single sentiment value to a single sentiment word, although sentiment values may vary depending on personal traits. In this study, we develop an extended version of the SenticNet sentiment dictionary dubbed WellnessWordNet. SenticNet is considered the best and most expressive among the already existing sentiment dictionaries. Using the information provided by SenticNet, we created a database including the wellness states (estimated values) of stress, depression, and anger to develop the WellnessWordNet system. The accuracy of the system was validated through actual tests with live subjects. This study is unique and unprecedented in that i) an extended sentiment dictionary, WellnessWordNet, is developed; ii) values for wellness state language are offered; and iii) different sentiment values, namely contextual polarity, for people of the same gender or age group are suggested.