StorageChat Timeline: A Generative AI-Based Art Appreciation System for Enhancing Immersion and Exploratory Experience

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초록

This video showcases StorageChat Timeline, an AI-powered system utilizing a Large Language Model (LLM) and generative AI technologies (e.g., style transfer, image-to-video) for art appreciation education. By offering real-time interactive question-and-answer experiences, the system enables users to construct the meaning of artworks based on their knowledge and experiences. It also provides immersive generative animations reflecting the artworks' styles and multimodal features, including text-to-speech and dynamic visuals, to enhance emotional engagement. Through this design, the system aims to enhance immersion, learning motivation, and visual literacy, fostering active participation in art appreciation. This innovative approach enhances accessibility to art and proposes a generative AI-driven methodology for art education. The video demonstrates how the system's key features-AI conversational interface, immersive animations, and multimodal integration-create an engaging and visually interactive experience, showcasing its potential to transform art appreciation.

키워드

Generative AILarge Language Models (LLM)Museum EducationImmersive Learning
제목
StorageChat Timeline: A Generative AI-Based Art Appreciation System for Enhancing Immersion and Exploratory Experience
저자
Lee, ChaeyeonLee, Chung nyeongKim, Sang yongChoi, Yong soonKim, Ju sub
DOI
10.1145/3706599.3721349
발행일
2025-04-26
유형
Proceedings Paper
저널명
Conference on Human Factors in Computing Systems - Proceedings