• Title/Summary/Keyword: AI 예술

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Exploring Narrative Intelligence in AI: Implications for the Evolution of Homo narrans (인공지능의 서사 지능 탐구 : 새로운 서사 생태계와 호모 나랜스의 진화)

  • Hochang Kwon
    • Trans-
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    • v.16
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    • pp.107-133
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    • 2024
  • Narratives are fundamental to human cognition and social culture, serving as the primary means by which individuals and societies construct meaning, share experiences, and convey cultural and moral values. The field of artificial intelligence, which seeks to mimic human thought and behavior, has long studied story generation and story understanding, and today's Large Language Models are demonstrating remarkable narrative capabilities based on advances in natural language processing. This situation raises a variety of changes and new issues, but a comprehensive discussion of them is hard to find. This paper aims to provide a holistic view of the current state and future changes by exploring the intersections and interactions of human and AI narrative intelligence. This paper begins with a review of multidisciplinary research on the intrinsic relationship between humans and narrative, represented by the term Homo narrans, and then provide a historical overview of how narrative has been studied in the field of AI. This paper then explore the possibilities and limitations of narrative intelligence as revealed by today's Large Language Models, and present three philosophical challenges for understanding the implications of AI with narrative intelligence.

The Research on the Use of ChatGPT in Jewelry Industry (주얼리 산업에서의 챗GPT 활용연구)

  • Hye-Rim Kang
    • 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.

A Study on the Use of Generative AI and Learner Experience for Jewelry Design Education (주얼리 디자인 교육을 위한 생성형 AI의 활용 및 학습자 경험 연구)

  • Hye-Rim Kang
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.5
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    • pp.743-749
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    • 2024
  • Recently, the use of generative AI has become more active in university education, but jewelry design education and research using generative AI are still insufficient. Accordingly, we would like to discuss the possibilities and limitations of visualization of jewelry design ideation and expression using generative AI in the jewelry design development education and ideation stage, as well as the experience and application of generative AI by college students. To analyze the impact of generative AI on the learning experience, it was analyzed from the perspectives of 'usability', 'usefulness', 'reliability', and 'satisfaction'. As a result, generative AI confirmed positive results in terms of usability and usefulness to trainees, and confirmed the potential for effects using personalized education and collective intelligence. The combination of jewelry design education and generative AI is part of convergence education, and the significance of this study is to lay the foundation for effective use in jewelry design education by analyzing learners' experiences and perceptions of using generative AI. This kind of education reflects the trends of the times for nurturing future society's talents and will contribute to the promotion of learners' broad creative thinking.

A Study on the Application of Innovative Teaching Method in Tourism in the Generation AI Era (생성형 AI 시대의 관광 분야 혁신교수법 적용에 관한 연구)

  • Choi Younghwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.20 no.1
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    • pp.87-98
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    • 2024
  • This study conducted an empirical study on the application of innovative teaching methods in the tourism field in a situation where innovative teaching methods suitable for the AI era are required. It was intended to provide exploratory basic data on the application of a wide range of innovative teaching methods through actual verification of the educational effectiveness before and after the application of the innovative teaching method. To this end, the effectiveness before and after education was empirically verified with 60 students who majored in tourism at Y University in the metropolitan area. Reliability analysis, corresponding sample t-test, and map analysis using graphs were performed on the collected data to increase visibility. As a result of the study, it was found that all the competencies of the innovative teaching method had a statistically significant influence after the application of the innovative teaching method. In addition, by increasing the effect of interaction between instructors and learners acting as facilitators, exploratory results were derived for potential benefits and areas that could be improved.

A Study on the Design and Implementation of an AI Mock Interview System for Computer Science Interview Preparation Using LLM-based ChatGPT (LLM 기반 ChatGPT를 활용한 컴퓨터 분야 면접 준비용 AI 모의 면접 시스템의 설계 및 구현에 대한 연구)

  • Jae-Sung Chun;Hee-Kwon Jang;Ji-Hye Kim;Chang-Min Bae;Dong-Gyu Lee;Il-Young Moon
    • Journal of Practical Engineering Education
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    • v.16 no.5_spc
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    • pp.643-651
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    • 2024
  • This study aims to design and implement an AI mock interview system for Computer Science (CS) interview preparation using LLM (Large Language Model) based ChatGPT. The system utilizes AI's natural language processing and speech recognition capabilities to analyze and provide real-time feedback on interview responses, helping users improve their weaknesses during the preparation process. According to a survey, 90% of users reported that the real-time feedback function provided substantial assistance in their interview preparation. Key features include GPT prompt generation and Speech-to-Text functionality, which converts voice data into text. The system received positive evaluations for its response time and feedback accuracy. Future research will explore expanding the range of question types and applying the system to various industries.

A Study on the Current Status and Qualitative Development of AI Midjourney 2d Graphic Results (AI미드저니 2d그래픽 결과물의 현황과 질적 적용에 관한 연구)

  • Cho, Hyun Kyung
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.5
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    • pp.803-808
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    • 2024
  • As a service that creates graphic work images with AI, DALL-E2, Midjourney, Stable Diffusion, BING image generator, and Playground AI are widely used. It is that graphic also enables learner-led customized education. With this, it is worth studying detailed design customized learning materials and methods for designing efficient design in future 2D graphic work, and it is necessary to explore the areas of application. The current situation is that it is necessary to develop a design education system that can indicate the lack of AI technology through text security and questions. In this study, a successful proposal for a process that is produced through a process of creating AI design work through proxy work can be presented as a conclusion. Design, advertisement, and visual content companies are already using and adapting, and the trend is to reflect the AI graphic utilization ability and results in the portfolio along with interviews when hiring new employees. In line with this, detailed consideration and research on visual and design production methods for AI convergence between instructors and learners are currently needed. In this paper, proposals and methods for image quality production were considered in the main body and conclusions, and conclusive directions were proposed for five alternatives and methods for future applications.

The Evolution of Festival Culture of Using the XR Technology (XR 기술을 활용한 축제 문화의 진화)

  • Lee Yong Il;Park Seon Hwa
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.669-674
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    • 2024
  • Up to now, domestic festival culture has been continued by traditional way, so it has been continued to the thema of local traditional culture after the stage of promoting the local agricultural products and marine products. Recently, a newscaster was replaced by the AI newscaster of using AI technology, and what was more AI technology is used to the election campaign. Also, in the university and local festival, VR and XR technologies have been used. To prove the fact that XR technologies could be used in the military training, XR technologies were applied to the military training program. It is expected that these VR and XR technologies will be applied to not only the military training, but also various areas, and change the festival culture with the new trend. In this study, we proved that the XR technologies could be applied to the festival culture.

A Study on Measuring the Risk of Re-identification of Personal Information in Conversational Text Data using AI

  • Dong-Hyun Kim;Ye-Seul Cho;Tae-Jong Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.10
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    • pp.77-87
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    • 2024
  • With the recent advancements in artificial intelligence, various chatbots have emerged, efficiently performing everyday tasks such as hotel bookings, news updates, and legal consultations. Particularly, generative chatbots like ChatGPT are expanding their applicability by generating original content in fields such as education, research, and the arts. However, the training of these AI chatbots requires large volumes of conversational text data, such as customer service records, which has led to privacy infringement cases domestically and internationally due to the use of unrefined data. This study proposes a methodology to quantitatively assess the re-identification risk of personal information contained in conversational text data used for training AI chatbots. To validate the proposed methodology, we conducted a case study using synthetic conversational data and carried out a survey with 220 external experts, confirming the significance of the proposed approach.

Application and Analysis of Machine Learning for Discriminating Image Copyright (이미지 저작권 판별을 위한 기계학습 적용과 분석)

  • Kim, Sooin;Lee, Sangwoo;Kim, Hakhee;Kim, Wongyum;Hwang, Doosung
    • Annual Conference of KIPS
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    • 2021.11a
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    • pp.899-902
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    • 2021
  • 본 논문은 이미지 저작권 유무 판별을 분류 문제로 정의하고 기계학습과 합성곱 신경망 모델을 적용하여 해결한다. 학습을 위해 입력 데이터를 고정된 크기로 변환하고 정규화 과정을 수행하여 학습 데이터셋을 준비한다. 저작권 유무 판별 실험에서 SVM, k-NN, 랜덤포레스트, VGG-Net 모델의 분류 성능을 비교 분석한다. VGG-Net C 모델의 결과가 다른 알고리즘과 비교 시 10.65% 높은 성능을 나타냈으며 배치 정규화 층을 이용하여 과적합 현상을 개선했다.

A Study on the Feasibility Analysis of AI CARE Design Graphic Planning through Modern Design Trend Analysis -Focusing on AI CARE BED part-by-part analysis and design proposal- (현대 디자인 트랜드 분석 통한 AI CARE 디자인 그래픽 기획에 관한 타당성 분석에 관한 연구 -AI CARE BED 파트별 분석과 디자인 제안을 중심으로-)

  • Cho, Hyun Kyung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.599-604
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    • 2021
  • In an era where AI artificial intelligence converges into each field, design of AI-CARE function and UI UX design are in the spotlight. The application of shape design and the trend of color are important for visual effects to match new features. In this paper, we would like to use this to present an example of the arrangement and application of form trends and to present design directions. In the introduction, the latest design environmental factors were analyzed and studied in the direction of the new proposal. In the text, the design direction and consideration of the design in the planning were studied by separating the functional design form, and the direction of the design work was presented. At the stage of form and color, a plan was proposed to match the flow of minimalism, universal design, and affordance design. A study method based on case practice is a consideration of how to consider content on shapes and colors specialized in the partial design work, and proposed to enable graphic production of new areas of UI UX in content images to be feasible. Through this study, the design direction and planning of the derivative method of shape and color was reached by suggesting design directionality and validity for each AI CARE bed PART.