• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.274-277
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• 2002

To transmit users' intentions that vary with each person, intuitive and hi-directional interactions between users and a computer are necessary. We considered these interactions by dividing them into two spaces, physical space and informational space. Informational space supports human thinking process by arranging and visualizing much information. Physical space reproduces the real world where various restrictions exist to virtual space. From the viewpoint of three aspects - contents model, kansei model and context model - we defined the style of the interaction between user and multimedia database. In this paper, for the purpose of examining the way to realize the interaction based on these models, we developed interior design coordination support system and garden coordination system, and then evaluated them.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.9
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• pp.906-910
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• 2008

As the mobile environment becomes widely used, there is a growth on the concern about recognizing and sharing user context. Sharing context makes the interaction between human more plentiful as well as helps to keep a good social relationship. Recently, it has been applied to some messengers or mobile applications with sharing simple contexts, but it is still required to recognize and share more complex and diverse contexts. In this paper, we propose a context-aware messenger that collects various sensory information, recognizes representative user contexts such as emotion, stress, and activity by using dynamic Bayesian networks, and visualizes them. It includes a modular model that is effective to recognize various contexts and displays them in the form of icons. We have verified the proposed method with the scenario evaluation and usability test.

• Science of Emotion and Sensibility
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• v.5 no.4
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• pp.1-10
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• 2002

A web based virtual try-on provides customers a more enjoyable shopping experience that visualize clothes on personal mannequin. The researchers compared virtual fitting models which were developed in 2000 at Korea and in 2000 and 2002 at U.S. The results of this study as follows: The information about user's body size was required to input for selection of a virtual fitting model. 7 to 19 different body size, shape, and face features including weight and height were needed for visualizing virtual fitting model. The body type of the U.S virtual fitting model(My virtual model) was selected by front view silhouette for women, and by shoulder width and midriff silhouette for men. The more detailed information was required for developing Korean virtual fitting model. The additional body size information required in the site were leg and arm lengths, waist length, and thigh and ankle circumferences. The body proportion of Korean cyber personal mannequin was longer and narrower than the U.S cyber personal mannequin. It was recommended that standardized body length, width, and depth proportions calculated from national anthropometric data must be applied for developing Korean virtual fitting model. With application of more detailed information on face feature and advanced graphic image technology the 'My virtual model in 2002 resembled the human body shape of various race.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.828-833
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• 2009

WWW which is an applicable massive set of document on the Web is a thesaurus of various information for users. However, Search engines spend a lot of time to retrieve necessary information and to filter out unnecessary information for user. In this paper, we propose the EFAM(the Extended Fuzzy AHP Method) model to manage the Web resource efficiently, and to make a decision in the problem of specific domain definitely. The EFAM model is concerned with the emotion analysis based on the domain corpus information, and it composed with systematic common concept grids by the knowledge of multiple experts. Therefore, The proposed the EFAM model can extract the documents by considering on the emotion criteria in the semantic context that is extracted concept from the corpus of specific domain and confirms that our model provides more efficient decision-making through an experiment than the conventional methods such as AHP and Fuzzy AHP which describe as a hierarchical structure elements about decision-making based on the alternatives, evaluation criteria, subjective attribute weight and fuzzy relation between concept and object.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.9
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• pp.267-280
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• 2020

Mirror is a physical reflective surface, typically of glass coated with a metal amalgam, and it is to reflect an image clearly. They are available everywhere anytime and become an essential tool for us to observe our faces and appearances. With the advent of modern software technology, we are motivated to enhance the reflection capability of mirrors with the convenience and intelligence of realtime processing, microservices, and machine learning. In this paper, we present a development of Digital Mirror System that provides the realtime reflection functionality as mirror while providing additional convenience and intelligence including personal information retrieval, public information retrieval, appearance age detection, and emotion detection. Moreover, it provides a multi-model user interface of touch-based, voice-based, and gesture-based. We present our design and discuss how it can be implemented with current technology to deliver the realtime mirror reflection while providing useful information and machine learning intelligence.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.541-543
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• 2004

인터넷의 대중화로 인하여 인터넷상에 많은 음악 정보가 존재하게 되었다. 이에 따라서 사용자에게 음악 정보를 손쉽게 접근할 수 있게 해주는 서비스뿐만 아니라, 사용자에게 적절한 음악을 추천해주는 서비스의 중요성도 증가하고 있다. 본 논문에서는 사용자의 상황을 인식하고 사용자와의 대화를 통해서 적절한 음악을 추천해주는 인공 DJ를 제안한다 인공 DJ는 센서로부터 실내 온도, 습도, 조도, 소음을 입력받고, 인터넷을 통하여 날씨 정보를 입력받고, 사용자의 감정추론을 위하여 사용자가 입력하는 문장을 분석하여 Activation-Evaluation Space상에서 사용자의 감정을 표시함으로써 사용자의 주변 상황을 인식하고, 사용자의 성향을 파악하여 IF-THEN 규칙을 만들어 대수학적 연산자(algebraic operator)를 통한 퍼지 추론 방법을 이용하여 적절한 음악을 추천한다. 피험자 10명을 대상으로 실시한 설문조사 결과 제안하는 방법이 유용함을 알 수 있었다.

• Korean Institute of Interior Design Journal
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• no.31
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• pp.64-70
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• 2002

One of the main motivations of this research process is to develop an adaptable VR model whose color can be changed according to the emotional information of user. This paper addresses how to define color scheme and combine colors with harmony. The adaptable color of the VR model consists of three processes: emotional keyword identification, the color combination and the VR model adaptation processes. We have used the biorhythm to derive the emotional keyword which is used to find the color harmony scheme. The color harmony scheme provides information for the color combination of the VR model. Finally, we have obtained the VR model which color has been changed using the identified color schema.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.100-103
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• 2011

최근 스마트폰의 보급이 일반화되면서 보다 개인화된(Personalized) 서비스를 제공하려는 시도가 다각도로 이루어지고 있다. 이러한 시도 중 하나가 사용자의 감성을 인식하여 보다 효과적인 서비스를 제공하려는 것이다. 본 논문에서는 스마트폰으로부터 얻어낸 위치인식정보와 사용자 정보를 베이지안 네트워크를 활용하여 상황정보를 도출한다. 이 상황정보와 사용자의 선호도 정보를 퍼지 추론을 이용하여 얻은 결과 값을 수정된 Valence-Arousal 모델에 매핑하여 사용자의 감성정보를 추출하는 감성 추출 엔진을 제안한다. 유용성 평가를 위해 현재 상용 중인 스마트폰에 제안하는 감성 추출 엔진을 이용, 사용자 감성을 인식하고 적절한 서비스를 추천하는 애플리케이션을 구현하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.4090-4102
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• 2018

After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.484-485
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• 2013

스마트폰은 현대인에게 없어서는 안 될 필수품이 되었다. 기존의 휴대용 전화처럼 단순 연락 수단이라는 의미를 넘어 컴퓨터가 할 수 있는 거의 모든 기능을 내장하고 있으며, 여러 가지 센서들을 내장하여 그 활용 가능성이 높고, 수많은 종류의 어플리케이션들을 이용하여 추가적인 편의 서비스도 사용할 수 있다. 이렇듯 개개인의 생활과 밀착되어 사용되는 스마트폰은 사용자의 정보를 수집할 수 있는 최적의 기기이다. 스마트폰에서 얻은 사용자 정보, 즉 각종 센서를 이용한 행위 인지 정보, GPS를 이용한 이동 경로 정보, 음성 정보, 텍스트 정보 등을 활용하여 사용자의 감성정보를 추출하고, 이러한 감성정보에 기반하여 각 사용자에게 알맞은 서비스(어플리케이션)를 추천하는 맞춤형 지능서비스 제공기술의 개발이 가능하다. 이러한 기술 개발의 핵심사항은 사용자의 감성을 정확히 추출하는 것이다. 본 논문에서는 MCRDR 이론을 적용하여 보다 정확한 감성 추출 기법을 제안하고자 한다.