空间引导：将建筑作为表演者与可解释AI协作
Directing Space: Rehearsing Architecture as Performer with Explainable AI
AI总结：
本文提出了一种基于可解释AI的系统，使建筑在排练中作为表演者与艺术家协作，通过实时环境适应和戏剧原则设计提升互动体验。
摘要：
随着AI系统越来越多地嵌入互动和沉浸式艺术环境中，艺术家和技术人员正在发现新的机会，以创造性合作者的身份参与现场表演。本工作在探讨概念和技术基础，使表演者和互动建筑能够在排练环境中协作。它介绍了一个面向排练的原型系统，用于在创作实践中塑造和测试AI中介的环境。这种方法将互动建筑视为一个表演代理，能够感知空间行为和言语，通过大型语言模型解释这些信号，并生成实时的环境适应。该系统专为在物理表演空间中部署而设计，利用虚拟蓝图支持艺术家与AI代理之间的迭代实验和创造性对话，使用推理痕迹来指导基于戏剧原则的建筑交互设计。
英文摘要：
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.
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。
