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Designing an AI Agent to Facilitate Reflective Art Appreciation Through Feldman’s Critique Framework

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  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 14 Number 4 (2025.12)바로가기
  • 페이지
    pp.594-604
  • 저자
    Jiseon Yang, Sunkyung Kim, Dahee Lim, Uran Oh
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A481227

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원문정보

초록

영어
Interest in art appreciation has grown in recent years, yet many individuals—especially those without prior knowledge of art—still find it difficult to interpret and engage with artworks. Feldman’s art critique method, one of the most representative art critique frameworks, provides a structured and systematic art appreciation, but it still remains challenging for non-experts to apply in real-world appreciation contexts. While interactive approaches have been introduced to support art appreciation, most of them still focus on one-directional information delivery, and research on technologies that explore viewers' deeper engagement with art appreciation remains limited. Thus, we propose an AI-based agent that integrates Feldman’s art critique stages into an interactive web-based system for guided art appreciation. To achieve this, a large language model (LLM) integrated with a lightweight RAG pipeline was applied, and custom datasets were created for the RAG. A preliminary study with 10 individuals was conducted to explore user expectations for AI-supported art appreciation. Most participants expressed a preference for interactive systems that provide clear and informative guidance. Based on these insights, the proposed system was designed with the goal of supporting step-by-step interpretation, and contextual understanding of artworks. An exploratory user study with two participants was conducted, revealing positive responses toward the AI-assisted Feldman art critique system.

목차

Abstract
1. INTRODUCTION
2. RELATED WORK
2.1 Artificial Intelligence in Creative Production and Art Appreciation
2.2 Feldman Art Critique Method and Its Applications
3. PRELIMINARY STUDY
3.1 Participants
3.2 Apparatus
3.3 Procedure
3.4 Data and Analysis
3.5 Study Results
4. SYSTEM OVERVIEW
4.1 Feldman Art Critique
4.2 Custom Dataset
4.3 RAG Configuration
4.4 Role of GPT-4o-mini
4.5 Custom Webpage
5. RESULTS
5.1 System Production
5.2 Exploratory User Evaluation
6. Limitations and future work
7. CONCLUSION
ACKNOWLEDGEMENT
REFERENCE

키워드

Large Language Models Retrieval Augmented Generation Generative AI Art Appreciation Feldman Art Critique Art Interpretation Support Cognitive Scaffolding

저자

  • Jiseon Yang [ Master Student, Department of Artificial Intelligence Convergence, Ewha Womans University, Seoul, Korea ]
  • Sunkyung Kim [ Master Student, Department of Art History, Ewha Womans University, Seoul, Korea ]
  • Dahee Lim [ Master Student, Department of Artificial Intelligence Convergence, Ewha Womans University, Seoul, Korea ]
  • Uran Oh [ Associate Professor, Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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