• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.06a
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• pp.137-139
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• 2002

• Korean Journal of Psychosomatic Medicine
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• v.30 no.2
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• pp.99-111
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• 2022

Akey factor in evolution is reproduction, which is also a major concern in medicine. Evolutionists have proposed many theories and hypotheses to explain the low fertility rates of modern industrial societies, which are contrary to maximization of biological fitness. Given that childbirth is the most significant factor affecting reproductive fitness, it is likely that a variety of psychological modules related to childbirth behavior and intention evolved over time. Several evolutionary psychological modules have been proposed in relation to reproduction, including sexual desire, status-seeking, a need for nurturing, and the desire for children. Previously adaptive psychological modules may now be expressed maladaptively due to the discrepancy between the Environment of Evolutionary Adaptedness (EEA) and the environment of modern industrial society. Several evolutionary ecological factors influence childbirth intention in modern society, including individual personality factors, childhood life history experiences, and socioecological factors throughout reproductive life. By focusing on mental, social, and ecological factors, this review examines several hypothetical models relating to evolutionary psychological factors and childbirth decisions in modern industrial society, as well as a possible explanation for the low birth rate.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.622-624
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• 2018

인간에게 경험이란 삶의 흔적이며 과정이다. 어떤 경험을 했는지, 느낌을 갖게 되었는지, 본적이 있는지, 만진 적이 있는지 등 다양한 인지 요소들은 그 기억만으로 그 인간의 특성이 되고 성질이 된다. 이러한 모든 경우를 재인이라고 한다. 이러한 기억 인출 단서들이 현존감이 강한 가상환경에서 발견되느냐, 발견되지 않느냐에 따라 미디어적 환상성이 아닌 사용자에게 가상에서의 '현실'을 제공하는 중요 요소로 작용할 것이다. 또한 가상현실 콘텐츠의 이해가 미숙한 사용자라도 가상환경에서 선행경험에 대한 재인요소를 제공받을 수 있는 중요한 단서가 될 수 있다면, 콘텐츠에 대한 높은 만족감을 기대할 수 있을 것이다. 본 연구는 가상현실 콘텐츠의 만족도를 올리는 요소로서, 재인에 대하여 고찰하고 개인의 재인과 가상현실 콘텐츠 만족과의 상관관계를 연구하여 양질의 콘텐츠 서비스를 제공하는데 기여하고 가상현실을 경험하는 사용자의 심리적인 영역까지 이해의 폭을 넓히고자 함이다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.39-42
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• 2009

4 세대 모바일폰은 카메라, MP3, 블루투스, DMB, 전자수첩, PC, 웹브라우징의 복합 기능을 가진 제품으로 진화하고 있으며, 이를 위한 사용자의 요구와 경험디자인의 요소를 탐색하고 분석하는 것이 요구된다. 하지만 기존의 사용자 요구의 조사와 경험디자인은 많은 비용과 시간을 투입하고도 기존 요구의 재확인에 머물거나, 제한적이고 예측 가능한 결과만을 도출하는 문제점을 가지고 있어 창의적 디자인 아이디어 도출에는 한계를 가지고 있다. 이는 사용자의 선정과 분석의 방법이 마케팅 중심의 통계적 방법에 기초하고 있으며, 사용자의 선정에 분석의 결과가 좌우되기 때문이다. 본 연구는 창의적 경험디자인의 방법으로서 1% 이미지 추출의 작업과 국내외 커뮤니티 사이트를 중심으로 한 디지털 포켓리서치의 방법을 활용하였나 2차 사용자 조사는 '1% UX 리서치'로 명명한 극단적 사용자 분석의 방법을 개발하고 적용하였으며, 주요 디자인 요구와 암시점은 K-J 매트릭스를 통하여 체계화하였다. 디지털포켓리서치와 1% 사용자의 리서치의 방법론은 근 미래의 사용자 예측과 풍부한 경험디자인의 아이디어를 발상할 수 있다는 측면에서 기존의 방법론 보다 비용과 시간 측면에서 효율적으로 활용할 수 있었다.

• Journal of The Korean Association For Science Education
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• v.34 no.8
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• pp.767-778
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• 2014

Many biologists and various educational associations define evolution as a unifying theme as well as a central idea in biology. In this study, teacher education programs were developed as 18-hour courses on understanding the unified role and significance of evolution in biology, and their effectiveness was tested. As factors for the program content, enhancement of the acceptance of evolution, reinforcement of the conception of evolutionary theory, and recognizing and practicing evolution as the unifying nature of evolution were considered. Hands-on activities, self- and peer-evaluation, and projects based on the small teams including frequent questioning and feedback by instructors were considered methodological factors. Six in-service biology teachers and seven pre-service teachers took part in the programs of the graduate school of H university to testing their effectiveness. They were effective in improving the acceptance of evolution, the understanding of evolutionary mechanism, the perception on the unified role of evolution. The programs also induced a positive change in self-evaluation for knowledge of evolution and perception on importance of evolution in biology. Subsequent studies on whether the changed perceptions of the teachers who participated in the programs reflect on their biology classes in secondary schools after finishing the graduate program are required.

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.73-83
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• 1995

In this paper, we propose a generating method for the optimal rules of the fuzzy rule base using evolution algorithms. With the aid of evolution algorithms optimal rules of fuzzy logic system can be automatic designed without human expert's priori experience and knowledge. can be intelligent control. The a, pp.oach presented here generating rules by self-tuning the parameters of membership functions and searchs the optimal control rules based on a fitness value which is the defined performance criterion. Computer simulations demonstrates the usefulness of the proposed method in non-linear systems.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.694-702
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• 2022

This paper is the UX-based technology strategy research which is a solution to how conversational AI can be ethically evolved in the Metaverse environment. Since conversational AI influences people's on-offline decision-making factors through interaction with people, the Metaverse AI ethics must be reflected. In the machine learning process of conversational AI, cultural codes along with user's personal experience data must be included and considered to reduce the error value of user experience. Through this, the super-personalized Metaverse service can evolve ethically with social values. With above hypothesis as a result of the study, a conceptual model of a forward-looking perspective was developed and proposed by adding user experience data to the machine learning (ML) process for context-based interactive AI in the Metaverse service environment.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.572-573
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• 2022

본 논문은 메타버스 환경에서 문제가 대두되고있는 AI 윤리(ethic)를 배경으로 인터랙션을 통해 사람들의 온라인과 오프라인의 결정요소에 직접적으로 영향을 미치는 대화형 AI가 어떻게 윤리적으로 진화될 수 있을지에 대한 공학적 솔루션을 UX 관점으로 찾아보는 기술 전략 연구라고 할 수 있다. 연구의 가설은 AI 의 머신러닝과정에 개별 사용자 그룹의 경험데이터가 반드시 포함되고 고려되어야 AI 는 오류값을 줄이고 윤리적으로 대응할 수 있다는 전제이다. 이를 위하여 본 논문은 기존의 머신러닝과 대화형 AI 의 UX 관점의 다이아로그 플로우 등을 연구 분석하고 사용자 데이터들을 실험하여 메타버스 서비스 환경에서의 기존에 논의되고 있는 컨택스트기반의 AI 머신러닝 과정에 사용자의 정성적 경험데이터를 추가한 윤리적 UX 접근 개념 모델을 제안 하였다. 아직은 개념모델 단계이고 시스템에서는 지금까지 다르지 않았던 비정량적인 감정과 융합적경험을 어떻게 문화적으로 코드화 하고 시스템적인 랭귀지와 연결시킬 수 있을지에 대한사용자 연구가 후속연구로 진행될 예정이다.

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.365-377
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• 2018

The purpose of the study was to analyze the concept of happiness that would be experienced in life of Korean cancer survivors. The concepts of happiness were analyzed using the Rogers' evolutionary concept analysis method for 11 papers satisfying the selection criteria, among domestic journals published from January 2000 to September 2017. The result of this study was that attributes of happiness were subjective experience, positive mind, meaning of life and formation of relationship. Antecedents were to accept-risk-of-life, cope-with-the-reality, implement-self-reflection and environmental-support. As a result of the concept, cancer survivors' inner strength increased, they became feeling love and pursuing new lives, and felt happiness through self-realization. This study is valuable to suggest a basic framework for the stepwise assessment that can improve the happiness of Korean cancer survivors and cancer survivors should be managed through multidisciplinary convergence programs.

• Journal of KIISE:Software and Applications
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• v.29 no.1_2
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• pp.1-9
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• 2002

Evolutionary artificial neural networks (EANNs) are towards the near optimal ANN using the global search of evolutionary instead of trial-and-error process. However, many real-world problems are too hard to be solved by only one ANN. Recently there has been plenty of interest on combining ANNs in the last generation to improve the performance and reliability. This paper proposes a new approach of constructing multiple ANNs which complement each other by speciation. Also, we develop a multiple ANN to combine the results in abstract, rank, and measurement levels. The experimental results on Australian credit approval data from UCI benchmark data set have shown that combining of the speciated EANNs have better recognition ability than EANNs which are not speciated, and the average error rate of 0.105 proves the superiority of the proposed EANNs.