The architecture of spatial intelligence beyond positional tracking.
Tracking tells a system where objects and people are. Spatial intelligence asks what is happening, what support is useful, and how the environment should respond.
Perception of context
Summarize space, task, behavior, and device state into context descriptors. The model should be useful enough to guide adaptation without pretending it knows everything.
Adaptive mediation
Tune interface complexity, guidance density, layout, and feedback based on the task moment. The best adaptation removes work instead of adding surprise.
Collaboration orchestration
Keep shared attention, shared state, and multi-user workflows aligned across people, devices, and AI agents.
Explainability is part of the architecture, not a compliance sticker.
Every adaptive XR system should answer a simple question: what changed and why? That is how teams keep trust, debug failure modes, and make the system usable in real operational settings.