I study Human-AI Interaction and how people understand, experience, and effectively work with intelligent systems. My research focuses on designing and empirically evaluating interactive AI technologies that are transparent, trustworthy, and responsive to human behavior. A central theme of my work is perception as an interface: by augmenting human sensory and cognitive capabilities, I explore how interfaces can improve users’ understanding, control, and regulation of adaptive AI systems. Methodologically, I conduct user studies with the design of intelligent interactive artifacts, often in the context of extended and mixed reality. Through this work, I aim to develop human-centered and interactive AI systems that provide meaningful support to people in complex, real-world settings.
Don’t hesitate to contact me if you have any questions :).