• Smart Media Journal
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• v.11 no.8
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• pp.47-54
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• 2022

It is necessary to discover Korea's diverse traditional culture and publicize it to the world to continue the Korean Wave and develop it in a more positive direction. The present study proposes methods for publicizing little-known 'traditional Korean ceramic tableware' by focusing on Hansik, which is the most frequently published in the British Oxford Dictionary among Korean traditional cultures and can best represent Korean food. To this end, the present study measured cultural recipients' emotions regarding traditional Korean ceramic tableware to derive the 'representative emotions felt regarding traditional Korean ceramic tableware' as a method to reflect it in the design. First, the Delphi Technique was carried out based on 182 emotional vocabulary items collected from existing studies to create 33 groups of emotional vocabularies with similar concepts. In addition, among the emotional vocabularies included in each of the 33 groups, those of overlapping concepts were regrouped based on the characteristics of traditional Korean ceramic tableware, and the most appropriate emotional vocabularies were extracted and reduced to 75. A survey was carried out with 135 cultural recipients experienced with traditional Korean ceramic tableware to derive 32 representative emotions felt regarding traditional Korean ceramic tableware. Finally, from the results of a factor analysis of 32 representative emotions, this study classified vocabulary into six emotion categories including 'aesthetic, pleasure, freshness, ownership, satisfaction, and comfort'. The six emotion categories and 32 representative emotions derived from this study's results can be utilized to measure emotional levels felt by cultural recipients while using traditional Korean ceramic tableware.

• Cartoon and Animation Studies
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• s.33
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• pp.403-423
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• 2013

Video images of emotional happiness or unhappiness, stress or emotional division of tranquility in the form of a tree is evaluated by weighting. Representative evaluation of the video image brightness contrast sensitivity ratings 1 car happy, unhappy or nervous, calm and refined with two car dependency, sensitivity to visual images are separated. Emotion Recognition of four compared to the numerical data is measured by brightness. OpenCV implementation through evaluation graph the stress intensity contrast, tranquility, happiness, unhappiness with changes in the value of four, separated by sensitivity to computing. Contrast sensitivity of computing the brightness according to the input value 'unhappy' to 'happy' or 'stress' to 'calm' the emotional changes are implemented. Emotion computing the regularity of the image to calculate the sensitivity localized computing system can be controlled according to the emotion of the contrast value of the brightness changes are implemented. The future direction of industry on the application of emotion recognition will play a positive role.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.5
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• pp.477-481
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• 2014

Human has various types of emotions which affect speculation, judgement, activity, and the like at the moment. Specifically, walking is also affected by emotions, because one's emotion status can be easily inferred by his or her walking style. The present research on biped walking with humanoid robots is mainly focused on stable walking irrespective of ground condition. For effective human-robot interaction, however, walking pattern needs to be changed depending on the emotion status of the robot. This paper provides analysis and comparison of gait experiment data for the men and women in four representative emotion states, i.e., joy, sorrow, ease, and anger, which was acquired by a gait analysis system. The data and analysis results provided in this paper will be referenced to emotional biped walking of a humanoid robot.

• Journal of Korea Multimedia Society
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• v.17 no.9
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• pp.1125-1133
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• 2014

Recently, there are many researches have been studying for analyzing user interests and emotions based on users profiles and diverse information from Social Network Services (SNSs) due to their popularities. However, most of traditional researches are focusing on their researches based on single resource such as text, image, hash tag, and more, in order to obtain what user emotions are. Hence, this paper propose a method for obtaining user emotional information by analyzing texts and images both from Instagram which is one of the well-known image based SNSs. In order to extract emotional information from given images, we firstly apply GRAB-CUT algorithm to retrieve objects from given images. These retrieved objects will be regenerated by their representative colors, and compared with emotional vocabulary table for extracting which vocabularies are the most appropriate for the given images. Afterward, we will extract emotional vocabularies from text information in the comments for the given images, based on frequencies of adjective words. Finally, we will measure WUP similarities between adjective words and emotional words which extracted from the previous step. We believe that it is possible to obtain more precise user emotional information if we analyzed images and texts both time.

• Journal of the Ergonomics Society of Korea
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• v.23 no.2
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• pp.37-54
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• 2004

Fuzzy theory provides an intelligence treatment model for judgement about information when it needs a solution or a decision making about vague problems. Therefore, fuzzy theory is used for appropriate evaluation and decision on obscure information as human's emotion in human factors, In previous study, fuzzy membership function is defined for judgement infOlmation as human's emotion then ultimate results are deducted through fuzzy inference model. This method uses general CWTent through literature review or max, min and average as representative statics value about considering variables. But, this method makes away with nonlinear's or inegular's factors of human sensibility. Accordingly, application of this method leads to considerable loss of information in the ultimate evaluation. For that reason, this method has a limitation in objective evaluation of human factors. So, this study focuses on development of fuzzy membership function, which evaluates human's emotion or feeling accurately and objectively. We used the regression analysis and reasoned a fuzzy membership function about the relation of the variables. Then we verified the adequacy with the reliability through the experiment after this.

• Asian Journal for Public Opinion Research
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• v.2 no.4
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• pp.248-278
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• 2015

Despite the proliferation of studies on emotion, little attention has been paid to the effects of discrete emotion on political participation. Using a representative survey conducted on a sample of South Korean citizens in the aftermath of the Sewol ferry accident, the current survey explored how anger and sadness, as well as the ways people express those emotions, influence the orientation of their response in social environments and, ultimately, their voting intention. The results partially supported the discrete effects of sadness and anger in eliciting reactions of approach or avoidance. Anger was found to provoke an approach action tendency in independent voters and supporters of the opposition, while also eliciting an avoidance action tendency with a varying effect size across all three groups of respondents. Sadness also prompted an approach action tendency in independents and supporters of the incumbent party, while it manifested a negative association with the avoidance action tendency in supporters of the opponent party. An interpretation of the findings and proposed directions for future research are presented.

• Human Ecology Research
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• v.55 no.6
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• pp.609-623
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• 2017

Fur apparel is a representative luxury item that displays wealth and social status; however, it is also recognized as an unethical product criticized for its animal maltreatment in the production process. Understanding consumer responses to an ambivalent object, such as fur apparel, is an important research topic both academically and practically. This study investigates the hierarchical effects of perceived benefits and risks of fur apparel on consumers' emotions and purchase intention by applying the ABC model of attitudes to identify the mediating effects of consumer emotions. An online survey was conducted on 390 female consumers that verified hypotheses through structural equation modeling and bootstrapping analysis using phantom variables. The initial results of the survey showed that the relationship between perceived conspicuous benefits and purchase intention towards fur apparel was partially mediated by positive emotion. Second, the relationship between perceived epistemic benefits and purchase intention was completely mediated by positive emotion. Third, the relationship between perceived ethical risk and purchase intention was completely mediated by positive and negative emotions. Fourth, perceived social risk did not affect the purchase intention of fur apparel significantly. The results support that cognitive beliefs about the subject have a significant positive effect on behavioral intentions through emotions as suggested in the ABC model of the attitude. This study provides an in-depth understanding of consumer responses to ambivalent objects by revealing the individual mediating effects of consumers' positive and negative emotions.

• Science of Emotion and Sensibility
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• v.5 no.4
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• pp.11-32
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• 2002

This article evaluates the existing subjective measures that have been utilized in surface transportation to assess various aspects of operator status such as fatigue, sleepiness, arousal, mood, etc. Specifically, the representative six subjective instruments - Epworth Sleepiness Scale, Karolinska Sleepiness Scale, Pearson and Byars Fatigue Checklist, Stanford Sleepiness Scale, Stress-Arousal Checklist, and NPRU Mood Scale - are compared and contrasted in terms of reliability, . validity, sensitivity, and appropriateness for application. Recommendations for application of the subjective measures in surface transportation are discussed.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.89-100
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• 2016

Inclusive design is increasingly gaining attention, as some people find using products difficult after becoming physically impaired, despite daily use. However, making inclusive products is a challenge for designers or companies, as a lack of knowledge and tools stems their low involvement in it. Developing inclusive design tools is thus needed. This study developed criteria to assess upper extremity capabilities corresponding to specific daily activities. A questionnaire survey was conducted among 58 physiatrists and orthopedists. Non-parametric statistics were employed and medians were adopted as representative scores in the assessment criteria based on normality and reliability test results, non-normal data, and strong reliability of respondents in ranking. Consequently, an assessment tool was developed with 14 criteria (divided into range of motion and strength) and capability scores between 0 and 100, which discerned the moderately impaired from the severely disabled and fully capable. Since the doctors agreed to adopt the criteria but assign numeric values, especially for mild impairments, their capability assessment perception was likely influenced by dichotomy. To compensate for these deficits, qualitative or ergonomic approaches are considered simultaneously.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.772-776
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• 2006

A research about facial image recognition is studied in the most of images in a full race. A representative part, effecting a facial image recognition, is eyes and a mouth. So, facial image recognition researchers have studied under the central eyes, eyebrows, and mouths on the facial images. But most people in front of a camera in everyday life are difficult to recognize a fast change of pupils. And people wear glasses. So, in this paper, we try using Principal Component Analysis(PCA) for facial image recognition in blindfold case.