• Journal of Korean Medical classics
• /
• v.26 no.2
• /
• pp.105-120
• /
• 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.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2006.11a
• /
• pp.121-124
• /
• 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.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2007.05a
• /
• pp.204-209
• /
• 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)
• /
• v.17 no.9
• /
• pp.2334-2347
• /
• 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.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.6
• /
• pp.1137-1144
• /
• 2022

In this study, an artificial intelligence(AI) was developed to help with facial expression practice in order to express emotions. The developed AI used multimodal inputs consisting of sentences and facial images for deep neural networks (DNNs). The DNNs calculated similarities between the emotions predicted by the sentences and the emotions predicted by facial images. The user practiced facial expressions based on the situation given by sentences, and the AI provided the user with numerical feedback based on the similarity between the emotion predicted by sentence and the emotion predicted by facial expression. ResNet34 structure was trained on FER2013 public data to predict emotions from facial images. To predict emotions in sentences, KoBERT model was trained in transfer learning manner using the conversational speech dataset for emotion classification opened to the public by AIHub. The DNN that predicts emotions from the facial images demonstrated 65% accuracy, which is comparable to human emotional classification ability. The DNN that predicts emotions from the sentences achieved 90% accuracy. The performance of the developed AI was evaluated through experiments with changing facial expressions in which an ordinary person was participated.

• The Journal of Korean Institute for Practical Engineering Education
• /
• v.4 no.2
• /
• pp.171-175
• /
• 2012

Recently, the research on ICT (Information and Communication Technology), which cognizes and communicates human's emotion through information technology, is increasing. For instance, there are researches on phones and services that perceive users' emotions through detecting people's voices, facial emotions, and biometric data. In short, emotions which were used to be predicted only by humans are, now, predicted by digital equipment instead. Among many ICT researches, research on emotion recognition from face is fully expected as the most effective and natural human interface. This paper studies about sensitivity ICT and examines mechanism of facial expression recognition system as an example of sensitivity ICT.

• Archives of design research
• /
• v.20 no.2 s.70
• /
• pp.5-16
• /
• 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.

• Journal of the Institute of Convergence Signal Processing
• /
• v.12 no.4
• /
• pp.228-236
• /
• 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.

• Lingua Humanitatis
• /
• v.8
• /
• pp.151-173
• /
• 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
• /
• 2004.08a
• /
• pp.1281-1285
• /
• 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.