Human–AI teaming · Human-compatible decision-making · Human–AI mutual understanding
The AI*MAN Lab investigates how humans and AI systems influence each other over time, and how to design autonomous systems that can interact, adapt, and make decisions in complex, real-world environments.
We explore the critical domains of Human–AI teaming, striving for mutual understanding, transparency, and trustworthiness. Our research achieves this through a unique combination of systems theory, advanced control, and Human–AI Interaction.
Our mission is to build systems where humans and AI excel together.
OUR FOCUS
We study coupled human–AI dynamics from a systems and control perspective, with a focus on latent human-state modeling, adaptive decision-making, and safe interaction.
- Modeling latent human states and behavior
- Coupled dynamics of humans and AI
- Adaptive and constrained decision-making
- From theory to real-world applications
 Latent-state inference for human–AI interaction Using systems-theoretic state-observers to infer latent cognitive states from interaction and behavioral data. Learn more ↗ |  State-space modeling of latent-state evolution in human–AI interaction Modeling coupled evolution of cognitive states and dynamics of interaction between human and AI. Learn more ↗ |  Modeling and analysis of human social interactions for human–AI teaming Integrating game theory to model social interactions and Belief-Desire-Intention model for indivisual decision-making. Learn more ↗ |  Autonomous systems adaptable to individual differences of humans From social robots to intelligent agents in open interaction settings, where AI should act creatively and meaningfully. Learn more ↗ |