• Journal of Industrial Convergence
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• v.20 no.8
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• pp.127-136
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• 2022

This study was conducted using a multiple regression model to empirically analyze the impact of personal emotions and social change perceptions of pandemic experienced by Korean people in the COVID-19 situation on the perception of disaster response after the endemic. For this end, we used the survey data with 996 respondents on 「Daily Changes of the People After COVID-19」conducted by the Korea Press Promotion Foundation. The results showed that COVID-19 positive emotions and social change perception factors had a positive (+) effect on disaster response perception, while the sense of community had a moderating effect that alleviated COVID-19 negative emotions which had a negative (-) effect. The most influential factors on disaster response perception after the endemic were COVID-19 positive emotions and community sense that had pride and stability in Korean society during disaster situations. Therefore, this study suggests that systematic disaster response manuals and control towers that give the public pride and stability are more strongly requested for the government's prior and follow-up measures performed in the post-endemic disaster situation, and that the people are asked to have the community sense to overcome disasters together rather than to respond with personal actions and judgments.

• 모자간호학회지
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• v.4 no.1
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• pp.33-40
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• 1994

모유수유 유무와 아기의 신체적, 정서적 발달과의 관계, 모유수유 성공에 영향을 주는 요소, 모유수유를 성공시키기 위한 전략 등 모유수유를 증진시키기 위한 연구는 많이 이루어 졌다. 이에 비하여 모유수유가 어머니의 모성행위, 어머니의 만족에 미치는 영향 등 모유수유 유무가 어머니의 정서에 미치는 영향에 관한 조사는 거의 이루어지지 않은 실정이다. 그러나 많은 모성간호사들은 모유수유 어머니가 인공수유 어머니보다 아기 양육에 더 자신감을 갖고 있고, 어머니로서의 역할에 더 만족한다고 믿고 있다. 또한 피치못할 사정으로 인공수유를 하는 어머니들 스스로도 모유수유를 하지 못함 때문에 아기에 대한 죄의식을 갖고 있을 수 있다. 그래서 생후 4개월된 아기를 갖고 있는 어머니를 대상으로 모유수유 유무와 어머니의 모성역할 긴장과 모성역할 획득 정도에 차이를 연구하였다. 연구결과 모유수유 유무에 따라 모성역할 획득정도에 차이가 없었으며, 모성역할 긴장에도 차이가 없었다. 또한 남편의 지지와 친척 및 친구의 지지를 공변량으로 처리하여 모유수유 유무에 따라 모성역할 획득정도에 차이를 알아 본 결과 모유수유 유무에 따라 모성역할 획득 정도에 차이가 없었고, 모성역할 긴장 역시 차이가 없었다.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.70-83
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• 2021

The issue of predicting the relationship between humans and AI robots is a 'strong AI' problem. Many experts predict the tragic ending which is a strong AI with superior thinking ability than humans will conquer humans. Due to the expectations of AI robots are projected onto media, the 'morally good AI' that meets human expectations is an important issue. However, the demand for good AI and the realization of perfect technology is not limited to machines. Rather, it appears as a result of putting all responsibility on humans, driving humans into immoral beings and turning them into human and human problems, which is resulting in more alienation and discrimination. As such, the result of technology interacts with the human being used and its properties are determined and developed according to the reaction. This again affects humans. Therefore, AI technology that considers human emotions in consideration of interaction is also important. Therefore, this study will clarify the process that the demand for 'Good AI' in the relationship of AI to humans with Randall Collins' Interaction Ritual Chain. Emotional energy in Interaction Ritual Chain has explained the formation of human bonds. Also, the methodology is a type of thinking experiment and explained through Janet and surrounding characters in the TV show .

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.117-120
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• 2020

본 논문은 인공지능 메이커 교육과 관련한 요소를 논문 네트워크 키워드 분석과 다양한 빅데이터를 종합하여 핵심용어를 선정 후 인공지능 메이커 교육을 시스템 다이내믹스의 Vensim프로그램으로 인과지도(Casual Loop Diagramming)를 구조분석(모델의 구조)하여 예측 결과를 토대로 향후 미래 상황 추출 및 정책 결정 연구에 영향을 기여한다. 연구 결과 인공지능 교육 정책은 추후 인공지능 교육과 메이커 교육을 융합한 교육 관련 산업이 증대할 것으로 예측되며 교육 경쟁력 향상과 창의적 인재 양성, OTT를 이용한 인공지능 교육 콘텐츠 향상으로 학습에 활용성이 증대하게 된다. 또한 인공지능 교육 정책은 프로그래밍 교육으로 연결되어 성장기 학습자들의 사고력과 정서 발달에 도움 되며 다양한 교재 및 기기 등장으로 인한 학습에 다양성 역시 증가할 것으로 예측된다. 학교 차원에서는 교수·연구 지원 활동이 증가하여 수업 전문성을 가진 교사가 늘어나 학교 교육의 질은 확대되고 학부모는 인공지능 교육 정책에 긍정적으로 된다. 시스템 다이내믹스는 구조가 형태를 결정짓는다는 세계관에 기초하여 피드백 루프와 동태적 형태 유형을 파악하며 다양한 가능성이 존재하게 된다. 이는 추후 다양한 연구를 통해 인공지능 교육 정책 인과지도의 확대로 연결될 수 있음을 암시하며 본 논문을 통해 인공지능 교육 연구 확산에 시발점이 되었으면 한다.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.179-184
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• 2023

본 연구는 우울감을 느끼거나 대화 상대 부재로 어려움을 겪는 사용자와 정서 교감형 시스템간의 대화로 구성된 한국어 데이터 셋을 구축하고 이때 시스템이 사용할 수 있는 효과적인 응대 전략을 제안하는데 목적이 있다. 데이터셋은 사용자와 시스템 간의 대화 쌍을 기본 단위로 하며, 사용자의 7가지 기본 감정(행복, 슬픔, 공포, 놀람, 분노, 혐오, 중립)과 시스템의 4가지 응대 전략(명료화, 공감적 응대, 제안, 페르소나)에 따라 주석이 된다. 이 중, 공감적 응대 전략은 10가지 독특한 반응 유형(수용적 경청, 후행 발화 요청, 승인/동의, 비승인/재고 요청, 놀람, 격려, 느낌 표시, 상대 발화 반복, 인사, 의견 제시) 및 4가지 후행 발화 요청 유형(무엇, 왜, 어떻게, 그밖에)을 포함하는 구조로 구체화되었다. 이러한 주석은 시스템이 사용자의 다양한 감정을 식별하고 적절한 공감 수준을 나타내는 응답을 생성하는 데 있어 연구적인 의의가 있으며, 필요시 사용자가 부정적 감정을 극복할 수 있는 활동을 제안하는 데 도움을 줄 수 있다는 점에서 실제적인 의의가 있다.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.123-131
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• 2016

In this paper, we discussed learner's capability enhancement education suitable for the age of artificial intelligence (AI) using game analysis and archival research based on the 2016 Google Deepmind Challenge match between AI that possessed the finest deep neural networks and the master Baduk player that represented the best of the human minds. AlphaGo was a brilliant move that transcended the conventional wisdom of Baduk and introduced a new paradigm of Baduk. Lee Sedol defeated AlphaGo via the 'divine move and Great idea' that even AlphaGo could not have calculated. This was the triumph of human intuition and insights, which are deeply embedded in human nature as well as human courage and strength. Convergence science education that cultivates student abilities that can help them control machines in the age of AI must be in the direction of developing diverse human insights and positive spirits embedded in human nature not possessed by AI via implementing hearts-on experience and topophilia education obtained from the nature.

• Cartoon and Animation Studies
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• s.48
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• pp.85-116
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• 2017

The purpose of this study is to analyze conditions that robots depicted in cinematographic works like animations or movies sympathize with and form an attachment with the nuclear person and organize characterizing strategies for emotional sympathetic robots. Along with the development of technology, the areas of artificial intelligence and robots are no longer considered to belong to science fiction but as realistic issues. Therefore, this author assumes that the expressive characteristics of emotional sympathetic robots created by cinematographic works should be used as meaningful factors in expressively embodying human-friendly service robots to be distributed widely afterwards, that is, in establishing the features of characters. To lay the grounds for it, this research has begun. As the subjects of analysis, this researcher has chosen robot characters whose emotional intimacy with the main person is clearly observed among those found in movies and animations produced after the 1920 when robot's contemporary concept was declared. Also, to understand robots' appearance and behavioral tendency, this study (1) has classified robots' external impressions into five types (human-like, cartoon, tool-like, artificial bring, pet or creature) and (2) has classified behavioral tendencies considered to be the outer embodiment of personality by using DiSC, the tool to diagnose behavioral patterns. Meanwhile, it has been observed that robots equipped with high emotional intimacy are all strongly independent about their duties and indicate great emotional acceptance. Therefore, 'influence' and 'Steadiness' types show great emotional acceptance, the influencing type tends to be highly independent, and the 'Conscientiousness' type tends to indicate less emotional acceptance and independency in general. Yet, according to the analysis on external impressions, appearance factors hardly have any significant relationship with emotional sympathy. It implies that regarding the conditions of robots equipped with great emotional sympathy, emotional sympathy grounded on communication exerts more crucial effects than first impression similarly to the process of forming interpersonal relationship in reality. Lastly, to study the characters of robots, it is absolutely needed to have consilient competence embracing different areas widely. This author also has felt that only with design factors or personality factors, it is hard to estimate robot characters and also analyze a vast amount of information demanded in sympathy with humans entirely. However, this researcher will end this thesis as the foundation for it expecting that the general artistic value of animations can be used preciously afterwards in developing robots that have to be studied interdisciplinarily.

• Journal of Engineering Education Research
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• v.11 no.4
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• pp.19-33
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• 2008

The purpose of this study is to find out the effects of the use of Chatting Method(with AI Chatting robot: Chatterbot) and Computer Interest Levels on Teaching & Learning. The major findings of the study are as follows. Firstly, the chatting activities using the chatterbot method and computer Interest Levels were not effective in the academic achievement. Secondly, the chatting activities using the chatterbot method and computer Interest Levels were effective in improving the learning motivation. Thirdly, According to the result of post-feedback analysis, the benefits of chatterbot method was 'the new', 'transcends time and space', 'drill and practice learning' and was some of the drawbacks 'response fixed', lack of emotional transactions. and the proposal 'PBL' was reached(1. strength: new experience, 2. weakness: be tired, 3. proposal: PBL approach). Fourthly, the relationship between the academic achievement, learning motivation, post-feedback was no correlation. Based on these results, the study suggests that the chatterbot method was need for multiple instructional design strategy.

• Communications of Mathematical Education
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• v.37 no.2
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• pp.159-181
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• 2023

The purpose of this study is to explore secondary mathematics teachers' perceptions on Artificial Intelligence (AI). For this purpose, we conducted three focus group interviews with 18 secondary in-service mathematics teachers and analyzed their perceptions on AI for math and math for AI. The secondary in-service mathematics teachers perceive that AI allows to implement different types of mathematics instruction but has limitations in exploring students' mathematical thinking and having emotional interactions with students. They also perceive that AI makes it easy to develop assessment items for teachers but teachers' interventions are needed for grading essay-type assessment items. Lastly, the secondary in-service mathematics teachers agree the rationale of adopting the subject ＜Artificial Intelligence Mathematics＞ and its needs for students, but they perceive that they are not well prepared yet to teach the subject and do not have sufficient resources for teaching the subject and assessing students' understanding about the subject. The findings provide implications and insights for developing individualized AI learning tools for students in the secondary level, providing AI assessment tools for teachers, and offering professional development programs for teachers to increase their understanding about the subject.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.455-458
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• 2000

인공 신경망은 체계적인 알고리즘으로 풀기 어려운 문제들을 해결하는데 사용되어오고 있다. 이는 인간의 뇌세포가 외부자극에 대해 반응하는 과정을 컴퓨터 시스템 상에서 구현한 것으로 새 인간과 컴퓨터의 상호작용을 연구하는데 흥미로운 접근방식이다. 본 논문에서는 신경망의 접근방법을 이용하여 인간행위 인식시스템을 구현하였다. 신경망을 이용해 구현된 컴퓨터 인식 시스템이 인간의 두 가지 정서 하에서 일어난 세가지 서로 다른 행동을 보고 행위자의 성별이나 강정상태를 얼마나 인식해낼 수 있는지 실험해 보았다. 특히, 성별 인식 실험에서는 신호탐지 이론에서 사용하는 인장도(discriminability)를 이용해 사람에 대한 이 시스템의 효율도를 계산하였다