• 대한한의학원전학회지
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• 제26권2호
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• pp.105-120
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• 2013

Objectives: Sasang Constitutional Medicine(SCM) is a Traditional Korean Medicine based on the natural human emotions of joy(喜), anger(怒), sorrow(哀), and pleasure(樂). Therefore, in this paper I would like to construct SCM as a Mind-Body Medicine by studying the relation between SCM and psychotherapy focusing on control of emotions. Methods : I have researched the psychological characteristics of the four human physical constitutions, as described by SCM, and psychotherapy with an emphasis on the natural human emotions of joy, anger, sorrow, and pleasure as discussed in the works of Lee Je-ma(李濟馬, 1837-1900). Results and Conclusions : The joy, anger, sorrow, and pleasure in SCM do not simply refer to human emotions. They have an inherent nature(性), emotion(情) and Qi(氣). They are tied to the psychological characteristics of the four human physical constitutions and the relationship between body and mind. The turning point in the transformation from Sasang philosophy to Sasang therapy lies in these emotions. Sasang Constitutional Medicine, which focuses on 'mind matter' and diagnosing illness, emphasizes medicine and food(藥餌), along with health maintenance(調養). In particular, health maintenance requires the following mental practices. First of all, through countinuous awarness(恒戒) and self-reflection(自反), one needs to practice moderation(中) and restraint(節) of the emotions of joy, anger, sorrow, and pleasure. Therefore, 'inward reflection while sitting(坐思)' is necessary. In SCM, this is very similar to meditation in that it enhances psychological self-control through mental training or practice.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2006년도 추계학술발표대회 논문집
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• pp.121-124
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• 2006

This study was done with a goal to observe changes of color emotions according to time flow and light changes as well as to study its moaning of color experience of natural scene to modern city dwellers with artificial surroundings. Individuals develop various feelings after seeing a color, but there is sometimes a common feeling raised among these various feelings. This study aims to investigate the influence of natural colors of surroundings on the emotions of human beings. First of all, we tried to discover how feelings change after a person is reminded of a color through an experience (recognition) of a natural color. Second, differences in feelings resulting from color perception are analyzed after time passes (sunrise, daytime, and sunset) and the colors of natural surroundings change accordingly. Survey was done in the period of $Jul.8^{th}$ to $10^{th}$, 2005 with 100 people (55 male and 45 female) in various professions and various ages between twenties to forties as respondent.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2007년도 춘계학술대회 논문집
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• pp.204-209
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• 2007

As people are getting interested in themselves ever than before, the value of culture industry which can satisfy their emotions has been considered much more important. According to this, in terms of the 'space', it is better to represent 'space' not just as a functional space, but the human-centered and making human and nature together. In this society, the most human-centered design can be achieved by pursuing value which is friendlier to nature. And it is sure that the interior design that completes life quality as well as emotions of human will be common in near future. There already has been a try 'Green interior' in subway station in variety ways, and now it is needed to make indoor display in Seoul subway station different in order to satisfy human emotions. If culture space in Seoul subway station applied eco-element interacts with indoor environment, it is surely expected that people have better feeling on subway station as well as help eliminate negative elements which underground have had. In culture space, there are many advantages for displaying space into 'nature', that is, natural space represents the best comfortable and agreeable space, and future-oriented design when it gets interacted with environment. Application of 'Green interior' in Seoul subway station makes special place ness by its symbol and image, so that it derives people to have more natural and comfortable movement distance in subway station, offers more comfortable and cozy place as well. Furthermore, it makes people very moved by experiencing the most special culture space that they have ever had.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권9호
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• pp.2334-2347
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• 2023

Metaverse services generate text data, data of ubiquitous computing, in real-time to analyze user emotions. Analysis of user emotions is an important task in metaverse services. This study aims to classify user sentiments using deep learning and pre-trained language models based on the transformer structure. Previous studies collected data from a single platform, whereas the current study incorporated the review data as "Metaverse" keyword from the YouTube and Google Play Store platforms for general utilization. As a result, the Bidirectional Encoder Representations from Transformers (BERT) and Robustly optimized BERT approach (RoBERTa) models using the soft voting mechanism achieved a highest accuracy of 88.57%. In addition, the area under the curve (AUC) score of the ensemble model comprising RoBERTa, BERT, and A Lite BERT (ALBERT) was 0.9458. The results demonstrate that the ensemble combined with the RoBERTa model exhibits good performance. Therefore, the RoBERTa model can be applied on platforms that provide metaverse services. The findings contribute to the advancement of natural language processing techniques in metaverse services, which are increasingly important in digital platforms and virtual environments. Overall, this study provides empirical evidence that sentiment analysis using deep learning and pre-trained language models is a promising approach to improving user experiences in metaverse services.

• 한국전자통신학회논문지
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• 제17권6호
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• pp.1137-1144
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• 2022

본 연구에서는 감정을 표현하기 위한 표정 연습을 보조하는 인공지능을 개발하였다. 개발한 인공지능은 서술형 문장과 표정 이미지로 구성된 멀티모달 입력을 심층신경망에 사용하고 서술형 문장에서 예측되는 감정과 표정 이미지에서 예측되는 감정 사이의 유사도를 계산하여 출력하였다. 사용자는 서술형 문장으로 주어진 상황에 맞게 표정을 연습하고 인공지능은 서술형 문장과 사용자의 표정 사이의 유사도를 수치로 출력하여 피드백한다. 표정 이미지에서 감정을 예측하기 위해 ResNet34 구조를 사용하였으며 FER2013 공공데이터를 이용해 훈련하였다. 자연어인 서술형 문장에서 감정을 예측하기 위해 KoBERT 모델을 전이학습 하였으며 AIHub의 감정 분류를 위한 대화 음성 데이터 세트를 사용해 훈련하였다. 표정 이미지에서 감정을 예측하는 심층신경망은 65% 정확도를 달성하여 사람 수준의 감정 분류 능력을 보여주었다. 서술형 문장에서 감정을 예측하는 심층신경망은 90% 정확도를 달성하였다. 감정표현에 문제가 없는 일반인이 개발한 인공지능을 이용해 표정 연습 실험을 수행하여 개발한 인공지능의 성능을 검증하였다.

• 한국실천공학교육학회논문지
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• 제4권2호
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• pp.171-175
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• 2012

최근 정보기술을 이용하여 인간의 감정을 인식하고 소통할 수 있는 ICT(Information and Communication Technology)의 연구가 증가하고 있다. 예를 들어 상대방의 마음을 읽기 위해서 그 사람과의 관계를 형성하고 활동을 해야만 하는 시대에서 사회의 디지털화로 그 경험이 디지털화 되어가며 마인드를 리딩 할 수 있는 디지털기기들이 출현하고 있다. 즉, 인간만이 예측할 수 있었던 감정을 디지털 기기가 대신해 줄 수 있게 된 것이다. 얼굴에서의 감정인식은 현재 연구되어지는 여러 가지 감정인식 중에서 효율적이고 자연스러운 휴먼 인터페이스로 기대되고 있다. 본 논문에서는 감성 ICT에 대한 고찰을 하고 그 사례로서 얼굴감정 인식 시스템에 대한 메카니즘을 살펴보고자 한다.

• 디자인학연구
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• 제20권2호
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• pp.5-16
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• 2007

The main objective of our research is analyzing user's emotional changes while using a product, to reveal the influence of usability on human emotions. In this study we have extracted some emotional words that can come up during user interaction with a product and reveal emotional changes through three methods. Finally, we extracted 88 emotional words for measuring user's emotions expressed while using products. And we categorized the 88 words to form 6 groups by using factor analysis. The 6 categories that were extracted as a result of this study were found to be user's representative emotions expressed while using products. It is expected that emotional words and user's representative emotions extracted in this study will be used as subjective evaluation data that is required to measure user's emotional changes while using a product. Also, we proposed the effective methods for measuring user's emotion expressed while using a product in the environment which is natural and accessible for the field of design, by using the emotion mouse and the Eyegaze. An examinee performs several tasks with the emotion mouse through the mobile phone simulator on the computer monitor connected to the Eyegaze. While testing, the emotion mouse senses user's EDA and PPG and transmits the data to the computer. In addition, the Eyegaze can observe the change of pupil size. And a video camera records user's facial expression while testing. After each testing, a subjective evaluation on the emotional changes expressed by the user is performed by the user him/herself using the emotional words extracted from the above study. We aim to evaluate the satisfaction level of usability of the product and compare it with the actual experiment results. Through continuous studies based on these researches, we hope to supply a basic framework for the development of interface with consideration to the user's emotions.

• 융합신호처리학회논문지
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• 제12권4호
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• pp.228-236
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• 2011

Emotion recognition plays an important role in the research area of human-computer interaction, and it allows a more natural and more human-like communication between humans and computer. Most of previous work on emotion recognition focused on extracting emotions from face, speech or EEG information separately. Therefore, a novel approach is presented in this paper, including face, speech and EEG, to recognize the human emotion. The individual matching scores obtained from face, speech, and EEG are combined using a weighted-summation operation, and the fused-score is utilized to classify the human emotion. In the experiment results, the proposed approach gives an improvement of more than 18.64% when compared to the most successful unimodal approach, and also provides better performance compared to approaches integrating two modalities each other. From these results, we confirmed that the proposed approach achieved a significant performance improvement and the proposed method was very effective.

• 인문언어
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• 제8집
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• pp.151-173
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• 2006

Even in this current high-tech industrial age, mythological imagination is considered important. Although each mythology scattered all across the world may have an insignificant origin, to understand that particular society fully, one must not mistakenly assume that the mythology itself is a production of a primitive mind. Ultramodern physics and futurology professor Freeman Dyson has also acknowledged this opinion. He insists that in order for human kind to survive into the far future it most keep in touch with its far past. Levi-Strauss also observes that mythology and science aren't a entirely separate domains. The scientific mind is regarded as a source of understanding the intrinsic qualities of mythology. Taking mythology and science as a binomial opposition, and only weighing their prospects, should be put to the past as we should recognize the need for mythology and science's qualitative unification. In this new point of view, regarding mythology as a meaningless irrationality should cease, while finding out why the inevitably related world of mythology needs metaphoric, ideological consideration. By utilizing 'Whale Rider' by Witi Ihimaera(2004) we will discover why our lives require an 'image' that is borrowed from our experience. The author, Witi Ihimaera, is originally from the Maori tribe, who approaches the world with a mythological imagination, which is not easy to understand with scientific thinking nor in modern civilization. When looking into the mythology of the ocean which still lives in modern civilization, while noting that the world is one, the author indicates that reality and unreality, nature and the super-natural, present and the past, science and fantasy, were not divided from the beginning. However, overtime humans have divided the borders. To do this, the author interprets the ancient emotions of the Maori tribe which have been traditionally accumulated in the group identity in a new literary way by introducing the Maori tribe's ancestral god, Paikia, who can converse with the ocean and the whales. This piece, which has been made into a movie and won awards in 5 international film festivals, including the Toronto International Film Festival, regards primitive emotions as a rational concept instead of an instrumental concept. Also these primative emotions are continuing their attempts to communicate with nature. Furthermore, it advises contemporary human beings who seek for eternal life to not exploit the cultural differences that have been formed naturally, and it is vital for human beings to transcend the ethnic boundaries and to think rationally. In the story, we can find "the dissimilar us" that philosopher E. Levinas mentioned in his sayings, which refers to responsible human beings who devote their lives for the sake of other people instead of fulfilling their own needs.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1281-1285
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• 2004

There are numerous emotions in the human world. Human expresses and recognizes their emotion using various channels. The example is an eye, nose and mouse. Particularly, in the emotion recognition from facial expression they can perform the very flexible and robust emotion recognition because of utilization of various channels. Hybrid-feature extraction algorithm is based on this human process. It uses the geometrical feature extraction and the color distributed histogram. And then, through the independently parallel learning of the neural-network, input emotion is classified. Also, for the natural classification of the emotion, advancing two-dimensional emotion space is introduced and used in this paper. Advancing twodimensional emotion space performs a flexible and smooth classification of emotion.