Maia Stiber

概要

I’m interested in developing human-aware machines that understand, predict, and adapt to people during interactions. These systems would enable intuitive assistance in physically situated interactions and support human well-being.

The overarching goals of my work are to create technology that:

• demonstrates human and world understanding,
• provides timely and context-appropriate assistance, and
• can be deployed in real-world settings.

A central focus of my research is leveraging human behavioral signals during physically situated interactions to build models of both the human and their perceptions of the world. Humans can be treated as “sensors” of the world, whose behavioral responses provide free information about themselves, the interaction, and the machine from a human perspective. This approach enables human-aware technologies that can reason about and adapt to real-world complexity.

Prior to joining Microsoft, I earned my Ph.D. from Johns Hopkins University, where my research in Human-Robot Interaction (HRI) focused on modeling human behavior to provide robots with error awareness during physical interactions. I received my B.S. from Caltech.