A Framework for Engineering Human/Agent Teaming Systems


  • Rick Evertsz RMIT University
  • John Thangarajah RMIT University




The increasing capabilities of autonomous systems offer the potential for more effective teaming with humans. Effective human/agent teaming is facilitated by a mutual understanding of the team objective and how that objective is decomposed into team roles. This paper presents a framework for engineering human/agent teams that delineates the key human/agent teaming components, using TDF-T diagrams to design the agents/teams and then present contextualised team cognition to the human team members at runtime. Our hypothesis is that this facilitates effective human/agent teaming by enhancing the human's understanding of their role in the team and their coordination requirements. To evaluate this hypothesis we conducted a study with human participants using our user interface for the StarCraft strategy game, which presents pertinent, instantiated TDF-T diagrams to the human at runtime. The performance of human participants in the study indicates that their ability to work in concert with the non-player characters in the game is significantly enhanced by the timely presentation of a diagrammatic representation of team cognition.




How to Cite

Evertsz, R., & Thangarajah, J. (2020). A Framework for Engineering Human/Agent Teaming Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 34(03), 2477-2484. https://doi.org/10.1609/aaai.v34i03.5629



AAAI Technical Track: Human-AI Collaboration