毁灭的愿景：通过凝视在扩散模型的潜在空间中导航以探索人类对自然的影响
Visions Of Destruction: Exploring Human Impact on Nature by Navigating the Latent Space of a Diffusion Model via Gaze
AI总结：
本文以艺术作品《毁灭的愿景》为例，探讨如何通过凝视交互和生成式AI的潜在空间导航，将观众从观察者转变为景观改造的行动者，以艺术研究方式回应人类世中的气候与生态危机。
摘要：
本文讨论了艺术作品《毁灭的愿景》，其核心概念聚焦于人类世，并通过观众互动和生成式人工智能作为艺术研究方法加以传达。基于凝视的互动将观众从单纯的观察者转变为景观改造的行动者，从而促成对气候变化和地球毁灭等紧迫问题的深刻、边缘化的参与。本文考察了早期以眼动追踪作为观众互动方法的交互式艺术史参考，并介绍了近期展示交互式潜在空间导航的人工智能辅助艺术作品。
英文摘要：
This paper discusses the artwork "Visions of Destruction", with a primary conceptual focus on the Anthropocene, which is communicated through audience interaction and generative AI as artistic research methods. Gaze-based interaction transitions the audience from mere observers to agents of landscape transformation, fostering a profound, on-the-edge engagement with pressing issues such as climate change and planetary destruction. The paper looks into early references of interactive art history that deploy eye-tracking as a method for audience interaction, and presents recent AI-aided artworks that demonstrate interactive latent space navigation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
