• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.637-644
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• 2008

Human emotion has been tried to be recognized by physiological measurements in developing emotion machine enabling to understand and react to user's emotion. This study is to find the time-dependent physiological measurements and their variation characteristics for discriminating emotions according to dimensional emotion model. Ten university students were asked to watch sixteen prepared images to evoke different emotions. Their subjective emotions and autonomic nervous responses such as ECG (electrocardiogram), PPG (photoplethysmogram), GSR (Galvanic skin response), RSP (respiration), and SKT(skin temperature) were measured during experiment. And these responses were analyzed into HR(Heart Rate), Respiration Rate, GSR amplitude average, SKT amplitude average, PPG amplitude, and PTT(Pulse Transition Time). TDPs(Time dependent parameters) defined as the delay, the activation, the half recovery and the full recovery of respective physiological signal in this study have been determined and statistically compared between variations from different emotions. The significant tendencies in TDP were shown between emotions. Therefore, TDP may provide useful measurements with emotion recognition.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.73-79
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• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.1-11
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• 2007

An Infotainment Service intended to enhance the human emotion is introduced in this paper. The service is to be installed on the robot helping elderly persons to live comfortable and enjoyable life. The research started with defining the undesirable status of emotion in everyday life, and the psychological skills to cope with the status were sought about. Then, a methodology for providing emotion contents reflecting the coping skill has been suggested. Based on the Cognitive Behavior Therapy, the coping skill is used to edit animation clips. A movie recommendation system to utilize the edited animation clips has been being developed. A series of process for developing the system is described, where the emotion elements are taken into consideration in addition to the user preference as the criterion for recommendation.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.57-66
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• 2023

In this study, we propose a novel research framework for the recommendation system that can estimate the user's emotional state and reflect it in the recommendation process by applying deep learning techniques and emotion AI (artificial intelligence). To this end, we build an emotion classification model that classifies each of the seven emotions of angry, disgust, fear, happy, sad, surprise, and neutral, respectively, and propose a model that can reflect this result in the recommendation process. However, in the general emotion classification data, the difference in distribution ratio between each label is large, so it may be difficult to expect generalized classification results. In this study, since the number of emotion data such as disgust in emotion image data is often insufficient, correction is made through augmentation. Lastly, we propose a method to reflect the emotion prediction model based on data through image augmentation in the recommendation systems.

• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.65-74
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• 2014

Due to recent interest in user experience and its significance, much research surrounding this theme is now being conducted. In this research, I investigated user experience during usage of a product and the satisfaction acquired by it, as well as the relationship between satisfaction of having used a product and whether the user would be more likely to purchase another product from the same company. The same experiment was conducted in South Korea and the United States of America in order to get more generalized experimental results. I found that amongst the six representative user emotions expressed while using a product, two of them correlated the most. First, 'Satisfaction in Usability' (the emotions aroused by satisfaction with usage or the practicality of the product); and second, 'Discomfort or Displeasure' (uncomfortable or unpleasant emotions expressed while using a product. The above two factors were found to be of the most influence concerning satisfaction of the product. Also 'Satisfaction in Usability' was found to be of the most influence in their preferability towards purchasing an item from the same company in the future. The significance of this finding is that aside from focussing on the attractiveness of the product's exteriors and design, one should be concerned on the ease of usage and effectiveness as well as usability of the product, all of which contribute to how efficiently a consumer will utilize the product. Furthermore, in agreement with previous research concerning the correlation between satisfaction of a product and positive perspective on consecutive purchases, the result of this study shows that the more satisfaction consumers feel after using a product, the more likely they are to purchase additional merchandises from the same company which manufactured the original product.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.3
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• pp.174-182
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• 2011

Conventional home audio system (e.g. AV Receiver, CD Player etc) has a various functionality of audio play, channel mixing, but the remote controller of these audio players is too complex, difficult for user to manage them effectively. Users want to use these functionalities with more easy, comprehensible way. In this study, "intelligent real-sound presentation technology" that support high quality, realistic audio and the "design of complex information and controller of real sound using intelligent real sound play and control interface" will be introduced. So user can actively, realistically enjoy and play real sound based on user's preference, emotion and circumstance, instead of user's passive service.

• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.283-296
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• 2012

The goal of this study is to determine the social emotion model as an emotion sharing relationship and information sharing relationship based on the user's relations at social networking services. 26 social emotions were extracted by verification of compliance among 92 different emotions collected from the literature survey. The survey on the 26 emotion words was verified to the similarity of social relation types to the Likert 7-points scale. The principal component analysis of the survey data determined 12 representative social emotions in the emotion sharing relation and 13 representative social emotions in the information sharing relation. Multidimensional scaling developed the two-dimensional social emotion model of emotion sharing relation and of information sharing relation based on online communication environment. Meanwhile, insignificant factors in the suggest social emotion models were removed by the structural equation modeling analysis, statistically. The test result of validity analysis demonstrated the fitness of social emotion models at emotion sharing relationships (CFI: .887, TLI: .885, RMSEA: .094), social emotion model of information sharing relationships (CFI: .917, TLI: .900, RMSEA : 0.050). In conclusion, this study presents two different social emotion models based on two different relation types. The findings of this study will provide not only a reference of evaluating social emotions in designing social networking services but also a direction of improving social emotions.

• Smart Media Journal
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• v.5 no.1
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• pp.61-68
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• 2016

According to increasing SNS users and developing smart devices like smart phone and tablet PC recently, many techniques to classify user emotions with social network information are researching briskly. The use emotion classification stands for distinguishing its emotion with text and images listed on his/her SNS. This paper suggests a method to classify user emotions through sampling a value of a representative figure on a trigonometrical function, a representative adjective on text, and a canny algorithm on images. The sampling representative adjective on text is selected as one of high frequency in the samplings and measured values of positive-negative by SentiWordNet. Figures sampled on images are selected as the representative in figures; triangle, quadrangle, and circle as well as classified user emotions by measuring pleasure-unpleased values as a type of figures and inclines. Finally, this is re-defined as x-y graph that represents pleasure-unpleased and positive-negative values with wheel of emotions by Plutchik. Also, we are anticipating for applying user-customized service through classifying user emotions on wheel of emotions by Plutchik that is redefined the representative adjectives and figures.

• The Journal of Korea Robotics Society
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• v.1 no.1
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• pp.58-65
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• 2006

The emotional interface is essential technology for the robot to provide the proper service to the user. In this research, we developed emotional components for the service robot such as a neural network based facial expression recognizer, emotion expression technologies based on 3D graphical face expression and joints movements, considering a user's reaction, behavior selection technology for emotion expression. We used our humanoid robots, AMI and AMIET as the test-beds of our emotional interface. We researched on the emotional interaction between a service robot and a user by integrating the developed technologies. Emotional interface technology for the service robot, enhance the performance of friendly interaction to the service robot, to increase the diversity of the service and the value-added of the robot for human. and it elevates the market growth and also contribute to the popularization of the robot. The emotional interface technology can enhance the performance of friendly interaction of the service robot. This technology can also increase the diversity of the service and the value-added of the robot for human. and it can elevate the market growth and also contribute to the popularization of the robot.

• Fashion & Textile Research Journal
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• v.7 no.2
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• pp.196-202
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• 2005

The purposes of this study were to investigate and analyze the relationship between the elements of textile design and consumer emotion and to suggest effective design methods. In addition, the forecasting system for textile design based on the results of this study was developed. The database system of textile design was organized by installing Mysql database server and tomcat servlet container on windows NT. The user interface was utilized using jsp on the web. This study findings can provide textile design samples which were suitable for each emotional factor, and an evaluation basis for each design element by the descriptive system of textile design. The forecasting system based on this study findings can also provide specific design methods for the effectiveness of consumer emotion and can be applied in a practical design process. This study based on the results of the quantitative analysis on consumer emotion has presented an objective and an efficient design method. This will be a useful expedient to improve the existing textile design process and for the consumer design.