Machine Learning-Driven Extended Creativity for Reshaping Traditional Artistic Pieces
摘要
This paper explores the transformative impact of Artificial Intelligence (AI) and Extended Reality (XR) within the framework of machine learning, focusing on their applications in creative industries. Specifically, it examines how AI-driven creativity and XR technologies are reshaping traditional artistic practices, particularly within the art community in Bangkok and its surroundings. By analyzing key variables such as cost, time, and technological capabilities of AI-generated art and XR devices, this research highlights how these technologies are revolutionizing the creative process and enhancing accessibility for artists. The study investigates the underlying machine learning models and soft computing methodologies that enable the integration of AI and XR into artistic media. Furthermore, it examines how XR enhances storytelling and audience engagement through advanced learning systems. The findings suggest that AI and XR technologies are merging to provide new avenues for creative expression, ultimately influencing the professional practices of artists. The paper concludes by outlining future research directions in machine learning and soft computing, emphasizing their critical roles in the evolution of artistic expression. This research offers a framework for understanding the coexistence of human creativity with AI and XR in the digital age, underscoring the potential for innovation and collaboration in the arts.