4 papers
Simulating Teams with LLM Agents: Interactive 2D Environments for Studying Human-AI Dynamics
Mohammed Almutairi, Charles Chiang, Haoze Guo +9
Enabling users to create their own simulations offers a powerful way to study team dynamics and performance. We introduce VirTLab, a system that allows researchers and practitioner…
VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Mohammed Almutairi, Charles Chiang, Haoze Guo +9
Simulating how team members collaborate within complex environments using Agentic AI is a promising approach to explore hypotheses grounded in social science theories and study tea…
SoGraB: A Visual Method for Soft Grasping Benchmarking and Evaluation
Benjamin G. Greenland, Josh Pinskier, Xing Wang +5
Recent years have seen soft robotic grippers gain increasing attention due to their ability to robustly grasp soft and fragile objects. However, a commonly available standardised e…
Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development
Daniel Nguyen, Myke C. Cohen, Hsien-Te Kao +4
As human-agent teaming (HAT) research continues to grow, computational methods for modeling HAT behaviors and measuring HAT effectiveness also continue to develop. One rising metho…