Blurring The Line Between Ai and Architecture: Developing Ai-Powered Data-Driven Panels For Interactive Architectural Features

The integration of artificial intelligence (AI) into architecture heralds a new era of innovation. This paper investigates the convergence of AI and interactive architecture through data-driven mechanical panels. Building on prior experimental research inspired by Daniel Rozin's mechanical mirror installations, this study integrates AI to elevate human-machine interaction (HMI). Machine learning (ML) is utilized to recognize images, body gestures, and speech, triggering the display of animations. A four-stage design-led methodology results in real-time simulation via 3D graphics software and integrated ML features. This investigation extends precedent work, using advanced 3D simulations to experiment with higher unit-density installations and various designs. The findings demonstrate the panels' dynamic and responsive capability, showcasing the potential for more adaptive and engaging architectural features. This paper underscores AI's transformative impact on static architectural elements, promoting the development of intelligent, interactive systems that enhance human experience, occupant comfort, and contact with the built environment.