• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.211-216
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• 2024

The purpose of this study is to examine the functional aspects linked to the productivity innovation of ChatGPT, which emerged as a result of the rapid development of AI technology, and to identify ways to apply it in the jewelry industry. By analyzing the definition of ChatGPT and its features that improve productivity, I identify the scope of its application in the jewelry production process and derive meaningful implications. ChatGPT has the characteristics of 'learning', 'communication', and 'generative'. It enhances productivity by applying it to the jewelry industry. Social issues arise from the paradigm shift in the creation methods of generative AI. The version of ChatGPT is continuously upgraded along with the expansion of parameters. Accordingly, we would like to discuss ways to strengthen the competitiveness of the jewelry industry by conducting continuous research.

• The Mathematical Education
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• v.63 no.3
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• pp.549-571
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• 2024

As digital·AI-based teaching and learning is emphasized, discussions on the educational use of generative AI are becoming more active. This study analyzed the mathematical performance of ChatGPT 4, Claude 3 Opus, and Gemini Advanced on solving examples and problems from five first-year high school math textbooks. As a result of examining the overall correct answer rate and characteristics of each skill for a total of 1,317 questions, ChatGPT 4 had the highest overall correct answer rate of 0.85, followed by Claude 3 Opus at 0.67, and Gemini Advanced at 0.42. By skills, all three models showed high correct answer rates in 'Find functions' and 'Prove', while relatively low correct answer rates in 'Explain' and 'Draw graphs'. In particular, in 'Count', ChatGPT 4 and Claude 3 Opus had a correct answer rate of 1.00, while Gemini Advanced was low at 0.56. Additionally, all models had difficulty in explaining using Venn diagrams and creating images. Based on the research results, teachers should identify the strengths and limitations of each AI model and use them appropriately in class. This study is significant in that it suggested the possibility of use in actual classes by analyzing the mathematical performance of generative AI. It also provided important implications for redefining the role of teachers in mathematics education in the era of artificial intelligence. Further research is needed to develop a cooperative educational model between generative AI and teachers and to study individualized learning plans using AI.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.588-589
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• 2023

챗 GPT 는 음성 혹은 문자로 사람과 대화할 수 있는 컴퓨터 프로그램인 챗봇(ChatBot) 중 하나이다. 최근 챗 GPT 의 사용자가 급격히 증가하면서 다양한 문제점과 한계가 발견되고 있다. 본 논문에서는 챗 GPT 를 활용 시 발생하는 문제와 한계에 대하여 살펴본다. 챗 GPT 의 문제점에는 챗 GPT 로 악성코드를 작성하는 사이버 범죄, 개인정보 침해 문제, 챗 GPT 로 과제 작성, 타인에게 챗 GPT 와 대화한 내용이 보이는 보안의 취약점이 발견되는 등이 있다. 챗 GPT 의 한계로는 실시간 학습 불가, 아는 것과 모르는 것의 구분 불가, 저작권 침해와 편향성과 같은 것이 있다. 본 논문이 챗 GPT 의 해결 가능한 문제를 신속하게 해결하고 남아있는 한계에 대한 잠재적인 해결책을 파악하는 데 도움이 되기를 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.297-298
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• 2023

COVID-19 가 사실상 종식됨에 따라 대학 강의가 비대면 온라인 강의에서 대면 강의로 전환되었다. 온라인 강의에서는 다시 보기를 통한 복습이 가능했지만, 대면강의에서는 녹음을 통해서 이를 대체하고 있다. 하지만 다시 보기와 녹음본은 원하는 부분을 찾거나 내용을 요약하는데 있어서 시간이 오래 걸리고 불편하다. 본 논문에서는 강의 내용을 STT(Speech-to-Text) 기술을 활용하여 텍스트로 변환하고 ChatGPT(Chat-Generative Pre-trained Transformer)로 요약하는 애플리케이션을 제안한다.

• Journal of Information Science Theory and Practice
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• v.12 no.2
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• pp.79-95
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• 2024

The new AI based conversational chatbot, ChatGPT, launched in November 2022, is causing a stir. There are many opinions about this being a 'threat or a promise,' and thus it is important to understand what has been said about this tool and, based on the growing literature that has emerged on the subject, demystify its effective impact on society. To analyse this impact, a systematic literature review with the support of the preferred reporting items for systematic reviews and meta-analysis protocol was used. The data, scientific documents, were collected using the main scientific databases - SCOPUS and Web of Science - and the results were presented based on a bibliometric and thematic exploration of content. The main findings indicate that people are increasingly using this chatbot in more diverse areas. Therefore, this study contributes at the practical level, aiming to enlighten people in general - both in professional and personal life - about this tool and its impacts. Also, it contributes at the theoretical level, which involves expanding understanding and elucidation of the impacts of ChatGPT in different areas of study.

• Korean Journal of Radiology
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• v.25 no.4
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• pp.403-406
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• 2024

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.603-608
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• 2023

본 연구는 한국어 Vision-Language Pre-training 모델 학습을 위한 대규모 시각-언어 멀티모달 데이터셋 구축에 대한 필요성을 연구한다. 현재, 한국어 시각-언어 멀티모달 데이터셋은 부족하며, 양질의 데이터 획득이 어려운 상황이다. 따라서, 본 연구에서는 기계 번역을 활용하여 외국어(영문) 시각-언어 데이터를 한국어로 번역하고 이를 기반으로 생성형 AI를 활용한 데이터셋 구축 방법론을 제안한다. 우리는 다양한 캡션 생성 방법 중, ChatGPT를 활용하여 자연스럽고 고품질의 한국어 캡션을 자동으로 생성하기 위한 새로운 방법을 제안한다. 이를 통해 기존의 기계 번역 방법보다 더 나은 캡션 품질을 보장할 수 있으며, 여러가지 번역 결과를 앙상블하여 멀티모달 데이터셋을 효과적으로 구축하는데 활용한다. 뿐만 아니라, 본 연구에서는 의미론적 유사도 기반 평가 방식인 캡션 투영 일치도(Caption Projection Consistency) 소개하고, 다양한 번역 시스템 간의 영-한 캡션 투영 성능을 비교하며 이를 평가하는 기준을 제시한다. 최종적으로, 본 연구는 ChatGPT를 이용한 한국어 멀티모달 이미지-텍스트 멀티모달 데이터셋 구축을 위한 새로운 방법론을 제시하며, 대표적인 기계 번역기들보다 우수한 영한 캡션 투영 성능을 증명한다. 이를 통해, 우리의 연구는 부족한 High-Quality 한국어 데이터 셋을 자동으로 대량 구축할 수 있는 방향을 보여주며, 이 방법을 통해 딥러닝 기반 한국어 Vision-Language Pre-training 모델의 성능 향상에 기여할 것으로 기대한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.371-382
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• 2024

This study explored the factors affecting the intention to use ChatGPT for adult men and women. The results are summarized and presented based on the hypothesis as follows. First, perceived ease of use had a positive effect on perceived usefulness. Second, information reliability did not have a significant effect on perceived usefulness. Third, information quickness had a positive effect on perceived usefulness. Fourth, perceived ease of use had a positive effect on user satisfaction. Fifth, perceived usefulness had a positive effect on user satisfaction. Sixth, information reliability did not have a significant effect on user satisfaction. Seventh, information quickness had a positive effect on user satisfaction. Eighth, user satisfaction had a positive effect on the intention to use.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.21-31
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• 2024

This study focused on the development of an AI essay tool for assessing writing-communication competence using ChatGPT. During the development process, the interaction between content expert and technical expert was emphasized to explore the fusion of IT and humanities and social sciences. Through close communication and interaction between the content and technical experts, they incorporated scoring criteria for writing-communication competence and developed an AI essay test tool that provides scores and feedback in the appropriateness of content, effectiveness of organization, and accuracy of grammar. This process revealed how content and technology combine and presented considerations for future fusion researchers, including technical experts in generative AI assessment tools.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.157-162
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• 2024

This study was conducted to implement Joseon Dynasty conversational style using the ChatGPT API to enhance the immersion of games set in the Joseon era. The research focuses on interactions between middle-class players and other classes. Two methods were employed: learning the dialogues from historical dramas set in the Joseon Dynasty and learning the sentence endings typical of the period. The method of learning sentence endings was rated higher based on self-evaluation criteria. Reflecting this, prompts were constructed to represent NPC dialogues in the game settings of the Joseon era. Additionally, a method was proposed for creating various NPC prompts using prompt combination techniques. This study can serve as a reference for NPC dialogue creation in games set in the Joseon Dynasty.