HUBSUArizona

Human–AI–Building Interaction

The building acts. The AI reasons. You decide.

You ask. The AI plans. The building moves.

The building senses. The AI explains. You decide.

The building reports. The AI learns. You correct.

Three parties, and none of them is in charge by default. We study the interaction and collaboration between them — what each one can sense, what each one may do, and how the three of them find a synergy none could reach alone. Take the occupant's side below.

Fig. 1 — Illustrative exchange · weekday, 14:40, grid peak approaching

The shape of the problem

From setpoint to collaboration.

For most of architectural history there was one relationship: you and the building, directly. Putting an agent between them does not replace it — it creates two more alongside it, and there will be more than three before long.

The sixth channel is the one that runs back to you.
What it does to the other five is the research.

The portfolio

From one individual to a whole city.

Human–AI–Building interaction is not a sixth research area beside the others — it is how we now approach all five.

Lab news

What's happening.

Join us

We need people who can work on all three corners.

Agents and reasoning, sensing and actuation hardware, building physics, and the human-subject work that keeps all three honest. PhD, master's, and undergraduate positions in Civil & Architectural Engineering & Mechanics, The University of Arizona.