TeamCAMS (Cabin Air Management System) is an open-source collaborative simulation platform designed to support scientific research on human-AI interaction, teamwork, and decision-making in complex operational environments. By replicating a process control setting with multiple concurrent tasks, TeamCAMS enables researchers to investigate topics such as automation reliability, human performance under stress, team coordination, distributed collaboration, and emerging forms of human-AI cooperation.
Building on a long history of experimental research, the latest version of TeamCAMS expands its capabilities to address new challenges related to team dynamics, conflict management, intelligent assistance, and AI-supported leadership. Its flexible and extensible architecture makes TeamCAMS a powerful tool for advancing research on the future of collaborative work and intelligent systems.
To foster transparency, reproducibility, and innovation, TeamCAMS is freely available to the research community under an open-source license.
Comprehensive documentation for all TeamCAMS components is available through this website. Whether you are a researcher planning a new study, an experiment administrator configuring scenarios, or a developer interested in extending the platform, the documentation provides detailed guidance on installation, configuration, operation, and best practices.
The documentation is organized into five main sections:
Together, these resources provide a complete reference for deploying, operating, and extending TeamCAMS, helping researchers quickly get started while supporting the development of advanced experimental studies.