Research

What the public actually expects, fears, and values in artificial intelligence — and how far that sits from what experts believe.

What happens to trust, agency, and a sense of control when people work beside machines that are usually — but not always — right.

Making industrial data legible to the people who have to act on it, and putting the human back into cyber-physical production.

Building the instruments — micro scenarios, conjoint designs, semantic differentials — that make "would people accept this?" an answerable question.

What people will trade for convenience, who refuses, and why the refusers are not simply behind the curve.

Games as instruments — for teaching hard ideas, for training decisions under complexity, and for extracting knowledge that experts cannot articulate.

Interfaces that disappear into curtains, sofas, and clothing — and whether the people meant to live with them actually want to.