As AI systems increasingly become embedded in interactive and im-mersive artistic environments, artists and technologists are discovering new opportunities to engage with their interpretive and autonomous capacities as creative collaborators in live performance. The focus of this work-in-progress is on outlining conceptual and technical foundations under which performance-makers and interactive architecture can collaborate within rehearsal settings. It introduces a rehearsal-oriented prototype system for shaping and testing AI-mediated environments within creative practice. This approach treats interactive architecture as a performative agent that senses spatial behaviour and speech, interprets these signals through a large language model, and generates real-time environmental adaptations. Designed for deployment in physical performance spaces, the system employs virtual blueprints to support iterative experimentation and creative dialogue between artists and AI agents, using reasoning traces to inform architectural interaction design grounded in dramaturgical principles.

翻译：随着人工智能系统日益融入交互式与沉浸式艺术环境，艺术家与技术专家正在发掘新的机遇，将AI的解释性与自主能力作为现场表演中的创造性协作者进行互动。这项进行中的研究聚焦于构建概念与技术基础框架，使表演创作者与交互式建筑能够在排练场景中实现协作。本文提出了一种面向排练的原型系统，用于在创意实践中塑造和测试AI介导的环境。该方法将交互式建筑视为表演性智能体，通过感知空间行为与语音信号，借助大语言模型进行解释，并生成实时环境适应性调整。该系统设计用于实体表演空间，采用虚拟蓝图支持艺术家与AI智能体之间的迭代实验与创造性对话，并运用推理轨迹为基于戏剧学原理的建筑交互设计提供依据。