The Self-Aware Room: A Framework for Operational Self-Awareness in Evolvable Blended Environments

Authors

• David B. Smith, CUNY New York City College of TechnologyFollow

Document Type

Article

Publication Date

8-18-2026

Abstract

The Self-Aware Room (SAR) is a room-scale research environment developed within the larger Balanced Blended Space and Blended Reality Performance System research trajectory. Rather than treating the room as a conventional “smart” environment composed of fixed automation technologies, SAR approaches it as an evolvable blended environment made from physical, virtual, conceptual, sensory, computational, and performative relationships. Its defining feature is not any particular sensor, model, or output device, but the set of transformations through which physical activity becomes structured observation, bounded representation, interpreted state, governed decision, and mediated response.

This paper develops the conceptual and methodological foundations of SAR as a framework for operational self-awareness. It begins with a philosophical argument concerning space, observation, mediation, and bounded awareness, then translates that argument into a systems-design methodology organized around successive architectural tiers and explicit computational boundaries. The resulting pipeline distinguishes edge capture, ingest, normalization, local abstraction, coherence, correlation, integration, semantic interpretation, policy, orchestration, and output dispatch. Logging, replay, evaluation, provenance, uncertainty, and degraded-state handling are treated as cross-architectural requirements rather than terminal additions.

The Summer 2026 phase focuses on establishing the physical, mediated, computational, and documentary substrate required for room-scale intelligence. This includes modular triptych structures, projection and camera geometry, immersive and localized audio, sensor-ready infrastructure, initial test sensors, shared data contracts, implementation scaffolds, a first executable computational pipeline, and repeatable testing practices. Several higher-level specifications remain intentionally open because their final form depends on empirical testing of lower-layer timing, normalization, spatial registration, cross-modal correlation, sensor behavior, and runtime performance. SAR therefore treats specification, fabrication, implementation, and evaluation as mutually informing activities within an ongoing research-through-design process.