Directing Space: Rehearsing Architecture as Performer with Explainable AI

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Authors: Pavlos Panagiotidis, Jocelyn C. Spence, Nils Jaeger, Paul Tennent
Cited by: 1
References: 16

Abstract

As AI systems increasingly become embedded in interactive and immersive 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.

Fields of Study & Subjects

Music Technology and Sound Studies Artificial Intelligence in Games Embodied and Extended Cognition

Publication details

Journal / source
Communications in computer and information science
Publisher
Springer Nature Switzerland
Pages
70–80
Publication date
1 January 2026
Language
EN