Human AI-Interaction Lab

Investigating how AI system design shapes user experiences across diverse applications — from virtual influencers and robo-advisors to conversational assistants and autonomous vehicle interfaces.

Developing innovative methodologies that leverage AI as a research collaborator, including synthetic panels and artificial societies simulating diverse human populations to pre-test hypotheses and validate findings at scale.

Developing frameworks for transparent AI systems that users can understand and collaborate with, particularly in high-stakes decision-making contexts where both trust and accurate comprehension of AI reasoning are critical.

Exploring social presence and psychological responses in VR/AR environments and metaverse platforms where users interact with AI-driven agents — examining how immersive media shapes perception, behavior, and human-AI relationships.

Examining the ethical implications of human-AI interaction — including agency, responsibility, and digital personhood — developing guidelines for responsible AI design and contributing to policy discussions on AI governance and regulation.