AI-Interactive Art in VR Environments: From Generative Art to Personalized Experiences
List of Authors
Liu Wei Lin, You Li Na
Keyword
AI-Interactive Art, Virtual Reality, Generative Art, Personalized Art Experience, Immersive Art, AI Algorithms
Abstract
With the continuous development of artificial intelligence (AI) and virtual reality (VR) technologies, the application of AI interactive art in virtual reality environments has gradually become an important field of artistic creation and experience. This article aims to explore the evolution process from generative art to personalized art experiences, with a focus on analyzing how AI promotes the innovation of interactive art in the VR environment. Firstly, the article reviews the basic concepts and historical development of generative art, and explores how AI algorithms (such as generative adversarial networks GANs, deep learning, etc.) promote the transformation of artistic creation. Secondly, the article conducts an in-depth analysis of artistic creation and interactive experience in virtual reality, with a focus on introducing the participation methods of the audience in the VR environment and their influence on artistic works. Then, this article expounds on the personalized artistic experience brought about by the combination of AI and VR, and explores how AI can enhance immersion and interactivity by analyzing the preferences and behaviors of the audience in real time and customizing artistic creation content. Finally, this paper discusses the challenges and prospects of AI interactive art in the VR environment, points out the issues in terms of technology, ethics and social culture, and looks forward to the development trends of future art creation and experience. Through the research on this interdisciplinary field, this paper aims to provide new ideas and inspirations for the deep integration of AI and VR in artistic creation.