VirTLab: AI-Powered System for Human-AI Team Simulations

We published VirTLab: Augmented Intelligence for Modeling and Evaluating Human-AI Teaming Through Agent Interactions at HCI International 2025 and presented VIRT-LAB: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations at UIST 2025.

VirTLab is a system that enables flexible, customizable, and large-scale team simulations using LLM-powered agents. It provides interactive 2D environments for studying human-AI dynamics, allowing researchers to model and evaluate how humans and AI agents can work together in team settings.

This work is part of our broader research into Human-AI Teaming (HAT) funded by DARPA, exploring how we can better understand and improve collaboration between humans and AI systems.

Co-authors: Mohammed Almutairi, Charles Chiang, Haoze Guo, Matthew Belcher, Nandini Banerjee, Maria Milkowski, Svitlana Volkova, Daniel Nguyen, Tim Weninger, Michael G. Yankoski, Diego Gomez-Zara