• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.274-276
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• 2021

As artificial intelligence develops rapidly, we can experience it in our everyday life such as with medical, education, and game applications. Traditional SW services were programmed explicitly by the intention of the programmer, and we have conducted evaluation on it. However, due to the uncertianty of AI services, risk follows to the products. Therefore, UX evaluations need to be different from traditional UX evaluations. Therefore, in this paper we suggest a AI-UX framework that consideres the task delegability, UX evaluations metrics, and individual differences.

• Annual Conference of KIPS
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• 2024.10a
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• pp.1047-1048
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• 2024

본 프로젝트는 한국인 학습자들의 영어 듣기와 말하기 능력을 향상시키기 위해 개발된 인공지능 기반 영어 회화 학습 서비스 개발을 목표로 한다. 주요 기능으로는 음성 인식 기술을 활용한 딕테이션 및 쉐도잉 기능이 포함되어 있다. 학습자의 영어 실력에 맞춘 레벨별 콘텐츠를 제공하며, 자연어 처리 기술을 통해 정교한 피드백을 제공한다. 완성된 서비스는 학습자의 영어 실력 향상과 자신감 증진을 목표로 개인 학습자부터 교육 기관 및 기업 등 다양한 분야에서 활용될 수 있다.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.947-960
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• 2021

In this study, we examine the AI ethics perception of university students to explore the direction of AI ethics education. For this, 83 students wrote their thoughts about 5 discussion topics on online bulletin board. We analyzed it using language networks, one of the text mining techniques. As a result, 62.5% of students spoke the future of the AI society positively. Second, if there is a self-driving car accident, 39.2% of students thought it is the vehicle owner's responsibility at the current level of autonomous driving. Third, invasion of privacy, abuse of technology, and unbalanced information acquisition were cited as dysfunctions of the development of AI. It was mentioned that ethical education for both AI users and developers is required as a way to minimize malfunctions, and institutional preparations should be carried out in parallel. Fourth, only 19.2% of students showed a positive opinion about a society where face recognition technology is universal. Finally, there was a common opinion that when collecting data including personal information, only the part with the consent should be used. Regarding the use of AI without moral standards, they emphasized the ethical literacy of both users and developers. This study is meaningful in that it provides information necessary to design the contents of artificial intelligence ethics education in liberal arts education.

• Journal of the KSME
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• v.28 no.3
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• pp.226-234
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• 1988

공작기계의 자동화에 적용되는 ACO, ACC 및 GAC 등에 대한 원리와 이용방안 그리고 연구개발 되어져야 할 점들에 대하여 수학적인 논술을 피하고 그 기본개념 등을 소개하였다. 궁극적인 자동화의 목표가 공작기계에 인공지능을 부여하여 경험이 없는 작업자라고 하더라도 생산공정을 관리 감독할 수 있도록 하기 위하여는 지능있는 공작기계의 개발이 이루어져야 하겠다. 지능 있는 공작기계의 개발시 고려되어져야 할 사항들을 고찰해 볼 때 공작기계의 ACO, ACC 및 GAC 등에 대한 연구개발에 앞서 절삭공정매카니즘 그 자체의 연구개발은 물론 절삭상황을 실 시간으로 측정 및 인식 할 수 있는 측정장치들에 대한 연구들이 선행되어져야 할 것이고, 선진국 대열에 들어서기 위해서는 공작기계 산업에 대한 육성은 물론 연구개발에 집중적인 투자가 이 루어져야 하겠다.

• Annual Conference of KIPS
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• 2024.10a
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• pp.1150-1151
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• 2024

본 연구는 생성형 인공지능 기술을 활용해 가상 면접관을 생성하고, 면접자가 업로드한 자기소개서를 바탕으로 인터뷰 문항을 생성하여 제시하며, 면접자의 답변을 분석하여 실시간 피드백을 제공하는 AI 기반 모의 면접 시스템을 개발하였다. 제안하는 시스템은 자기 소개서 텍스트 분석을 통해 연관성 있는 질문을 자동 생성하며, 면접관의 표정 변화까지 시물레이션하여 실제 면접과 유사한 환경을 제공한다. 또한 사용자의 면접 중 표정, 시선 추척, 음성 톤 등 비언어적인 행동 데이터를 분석하여 적절한 피드백을 제공한다. 인공지능 면접이 일반화 되고 있는 이 즈음에 면접자들이 인터뷰 준비를 하는데 도움을 줄 수 있는 시스템으로 기대된다.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.83-92
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• 2022

As cases of social and ethical problems caused by artificial intelligence technology have occurred, artificial intelligence ethics are drawing attention along with social interest in the risks and side effects of artificial intelligence. Artificial intelligence ethics should not just be known and felt, but should be actionable and practiced. Therefore, this study proposes an artificial intelligence ethics education model to strengthen the practical ability of artificial intelligence ethics. The artificial intelligence ethics education model derived educational goals and problem-solving processes using artificial intelligence through existing research analysis, applied teaching and learning methods to strengthen practical skills, and compared and analyzed the existing artificial intelligence education model. The artificial intelligence ethics education model proposed in this paper aims to cultivate computing thinking skills and strengthen the practical ability of artificial intelligence ethics. To this end, the problem-solving process using artificial intelligence was presented in six stages, and artificial intelligence ethical factors reflecting the characteristics of artificial intelligence were derived and applied to the problem-solving process. In addition, it was designed to unconsciously check the ethical standards of artificial intelligence through preand post-evaluation of artificial intelligence ethics and apply learner-centered education and learning methods to make learners' ethical practices a habit. The artificial intelligence ethics education model developed through this study is expected to be artificial intelligence education that leads to practice by developing computing thinking skills.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.489-499
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• 2021

This paper proposes an arts and culture content creation tool powered by artificial intelligence. With the recent advances in technologies including artificial intelligence, there are active research activities on creating art and culture contents. However, it is still difficult and cumbersome for those who are not familiar with programming and artificial intelligence. In order to deal with the content creation with new technologies, we analyze related creation tools, services and technologies that process with raw visual and audio data, generate new media contents and visualize intermediate results. We then extract key requirements for a future creation tool for creators who are not familiar with programming and artificial intelligence. We finally introduce an intuitive and integrated content creation tool for end-users. We hope that this tool will allow creators to intuitively and creatively generate new media arts and culture contents based on not only understanding given data but also adopting new technologies.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.13-21
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• 2021

In this paper, we developed an artificial intelligence literacy education program to strengthen the AI convergence education capacity and cultivate literacy of in-service elementary and secondary teachers, and verify the effect on the degree of interest in artificial intelligence convergence education by applying it. As a test tool, the level of interest questionnaire scale developed by George, Hall & Stiegelbauer(2006) was used based on the center of interest acceptance model of Hall et al.(1979). As a result of analyzing the degree of interest in artificial intelligence convergence education before and after the application of the artificial intelligence literacy education program, the types of non-users were found both before and after the application of the program, but the overall degree of interest increased compared to before application. As a result of analyzing the satisfaction result of the artificial intelligence literacy education program, a response that was satisfied in most areas was derived, but there was a tendency to be somewhat less satisfied with the case of convergence and application of artificial intelligence and industry.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.813-824
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• 2021

To improve educational performance by analyzing the learning trends of adult learners of Open High Schools, various algorithm models using artificial intelligence were designed and performance was evaluated by applying them to real data. We analyzed Log data of 115 adult learners in the cyber education system of Open High Schools. Most adult learners of Open High Schools learned more than recommended learning time, but at the end of the semester, the actual learning time was significantly reduced compared to the recommended learning time. In the second half of learning, the participation rate of VODs, formation assessments, and learning activities also decreased. Therefore, in order to improve educational performance, learning time should be supported to continue in the second half. In the latter half, we developed an artificial intelligence algorithm models using Tensorflow to predict learning time by data they started taking the course. As a result, when using CNN(Convolutional Neural Network) model to predict single or multiple outputs, the mean-absolute-error is lowest compared to other models.

• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.189-196
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• 2019

Artificial intelligence has begun to be used in various parts of our lives, and recently its sphere has been expanding. However, students tend to find it difficult to recognize artificial intelligence technology because education on artificial intelligence is not being conducted on elementary school students. This paper examined the teaching programming language and artificial intelligence teaching methods, and looked at the changes in students' attitudes toward artificial intelligence technology by conducting education on artificial intelligence. To this end, education on block-type programming language-based artificial intelligence technology was provided to students' level. And we looked at students' attitudes toward artificial intelligence technology through a single group pre-postmortem. As a result, it brought about significant improvements in interest in artificial intelligence, possible access to artificial intelligence technology and the need for education on artificial intelligence technology in schools.