• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.812-822
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• 2002

The interface metaphor has been evolved gradually from desktop to agent-oriented paradigm. Multimedia contents could be simply recognized as the multimodal communicational interface. In this respect, the emotional agents are actively focused as the research topics to test the possibility for realizing anthropomorphized and sympathetic interfaces. In this paper, the emotion generation model for tutoring agents is suggested.

• Science of Emotion and Sensibility
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• v.5 no.2
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• pp.51-61
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• 2002

This study deals with Rhythm which is one of aesthetic variables. Aesthetics among the factors of consumer preference has been importantly considered in competitive market environment. Therefore , consumers' purchasing standard has been also changed as their consciousness has been changed according to the variation of their lire style. Besides, the technique and method of design faces up to the change because of consumers' diverse wishes. Hence, to satisfy consumers' needs and the market front now on characterized as the short durability cycle of products, a distinctive design should be developed in the form of products that can be an important factor to attract consumers preference. So, in this study, 1 will try to understand typology based on a categorization theory and the conceptual structure of aesthetics, which are importantly considered at the same time. In addition, I will establish a new design process by extracting Rhythm affecting aesthetic. Ultimately, this study aims develop more consumer preferring design beyond the limit of a designer's idea and design generation by the result of this study.

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.107-111
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• 2005

When a pedagogical agent system aims to provide students with interactive help, it needs to know what knowledge the student has and what goals the student is currently trying to achieve. That is, it must do both assessment and plan recognition. These modeling tasks involve a high level of uncertainty when students are allowed to follow various lines of reasoning and are not required to show all their reasoning explicitly. In this paper, the student model for interactive edutainment applications is proposed. This model is based on Bayesian Networks to expose constructs and parameters of rules and propositions pertaining to game and problem solving activities. This student model could be utilized as the emotion generation model for student and agent as well.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.30-37
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• 1998

The purpose of this study is to develop the Korean-style tractors for agriculture with international competative advantage meeting consumer needs. In order to perform this program, we induce the suitable design procisses through provide customer-oriented product design processes with academic and practitional guides from an objective design development systim by using appropriate sampling and statistic methods.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.19-22
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• 1999

전자석을 이용하여 원하는 향을 일정한 시점에 일정한 시간동안 방출하는 향 발생장치를 개발하고, 멀티미디어의 후각자극 시점을 원격, 무선으로 송ㆍ수신하여 향 발생장치를 동작시킬 수 있도록 하기 위한 전자석 제어시스템을 개발하였다. 각기 다른 향을 담은 지름 5.3mm, 높이 24mm의 향 container에 소형 전자석을 장착하여 효과적으로 향이 방출되어 제어되도록 설계하였으며 RF 리모콘을 이용하여 20-30m 내에서 향 발생피내의 각기 다른 향들을 제어할 수 있는 원격동작 향 발생기 제어용 하드웨어를 개발하였다.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.121-138
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• 2017

As information users seek multimedia with a wide variety of information needs, information environments for multimedia have been developed drastically. More specifically, as seeking multimedia with emotional access points has been popular, the needs for indexing in terms of abstract concepts including emotions have grown. This study aims to analyze the index terms extracted from Getty Image Bank. Five basic emotion terms, which are sadness, love, horror, happiness, anger, were used when collected the indexing terms. A total 22,675 index terms were used for this study. The data are three sets; entire emotion, positive emotion, and negative emotion. For these three data sets, co-word occurrence matrices were created and visualized in weighted network with PNNC clusters. The entire emotion network demonstrates three clusters and 20 sub-clusters. On the other hand, positive emotion network and negative emotion network show 10 clusters, respectively. The results point out three elements for next generation of multimedia retrieval: (1) the analysis on index terms for emotions shown in people on image, (2) the relationship between connotative term and denotative term and possibility for inferring connotative terms from denotative terms using the relationship, and (3) the significance of thesaurus on connotative term in order to expand related terms or synonyms for better access points.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.443-450
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• 2007

Design is a realm one should have brought out creativity. So designers have continuously struggled for creating something new. In respects of that the essence of design work is making novel and creative things, and in design process' creative idea generation' to reach a final design solution is one of important capability that designers must have. In this study two different substantial methods for creative idea generation are suggested. One is existing' analogical association', an essential form widely used in association process, another is 'shape elements reconstruction' similarly operated 'shape grammar'. Therefore in this study for finding methods to reinforce designers' creative idea generation both of paper-based and computer-based design method are suggested substantially. In Both there is a common feature that existing or quiet new elements are organizationally associated or reconstructed in idea generation procedure.

• Journal of the Korean Home Economics Association
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• v.35 no.3
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• pp.63-75
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• 1997

The purposes of this study was to identify the differences between fashion opinion leaders and followers in the characteristics oriented New Young Generation and the types of fashion advertising involvement. The data were collected via a questionnaire from 431 college students(female=218 male=213) living in Seoul, Korea and analyzed by factor analysis and t-test. The results of this study were as follows: First, eight factors of the characteristics oriented New Young Generation were identified: Fashion, individuality, preference of caffe with affective mood, expression of emotion, indivisualism, preference of tastes oriented Western Europe, activity of pan club and chatting by personal computer. The significant differences between fashion opinion leaders and followers in fashion, individuality, preferences of the caffe with affetive mood, and expression of emotion were found in the data collected from female. There were significant differences between fashion opinion leaders and followers in fashion, individuality in the data collected from male. Second, three factors of fashion involvement advertising were identified: The hedonic involvement, social involvement, utilitarian involvement. The significant differences between fashion opinion leaders and followers in the hedonic involvement, social involvement, utilitarian involvement and the levels of involvement were found in the case of female's data. There were significant differences between fashion opinion leaders and followers in the hedonic involvement, social involvement and levels of involvement except for utilitarian involvement in the case of male's data.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1155-1163
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• 2009

This paper proposes an automatic facial expression generation system of vector graphic character using gaussian process model. Proposed method extracts the main feature vectors from twenty-six facial data of character redefined based on Russell's internal emotion state. Also by using new gaussian process model, SGPLVM, we find low-dimensional feature data from extracted high-dimensional feature vectors, and learn probability distribution function (PDF). All parameters of PDF are estimated by maximization the likelihood of learned expression data, and these are used to select wanted facial expressions on two-dimensional space in real time. As a result of simulation, we confirm that proposed facial expression generation tool is working in the small facial expression datasets and can generate various facial expressions without prior knowledge about relation between facial expression and emotion.

• Journal of the HCI Society of Korea
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• v.9 no.1
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• pp.23-28
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• 2014

In this study we focus on the effect of the interaction between humans and reactive television when emotion recognition through facial expression mechanism is used. Most of today's user interfaces in electronic products are passive and are not properly fitted into users' needs. In terms of the user centered device, we propose that the emotion based reactive television is the most effective in interaction compared to other passive input products. We have developed and researched next generation cognitive TV models in user centered. In this paper we present a result of the experiment that had been taken with Fraunhofer IIS $SHORE^{TM}$ demo software version to measure emotion recognition. This new approach was based on the real time cognitive TV models and through this approach we studied the relationship between humans and cognitive TV. This study follows following steps: 1) Cognitive TV systems can be on automatic ON/OFF mode responding to motions of people 2) Cognitive TV can directly select channels as face changes (ex, Neutral Mode and Happy Mode, Sad Mode, Angry Mode) 3) Cognitive TV can detect emotion recognition from facial expression of people within the fixed time and then if Happy mode is detected the programs of TV would be shifted into funny or interesting shows and if Angry mode is detected it would be changed to moving or touching shows. In addition, we focus on improving the emotion recognition through facial expression. Furthermore, the improvement of cognition TV based on personal characteristics is needed for the different personality of users in human to computer interaction. In this manner, the study on how people feel and how cognitive TV responds accordingly, plus the effects of media as cognitive mechanism will be thoroughly discussed.