When Artificial Intelligence (AI) agents are incorporated into teams, they are expected to possess teaming capabilities beyond their advanced technological skills. Human-Autonomy Teams (HATs) are AI agents and humans working interdependently toward shared goals. Teams engage in processes, including goal specification, planning, mission analysis, coordination, monitoring, and backup behaviors. Participation of AI agents in teamwork processes can elevate HAT effectiveness and enhance the involvement of the agents as teammates. This study explored three levels of support for teamwork processes from AI agents: passive, reactive, and proactive. The study was conducted in HiveMind, a cooperative gamified testbed. The proactive agent scored higher on several assessment metrics, including effective communication, interdependence, and teaming. Furthermore, participants reported positive perceptions of the agent’s proactive support and initiative taking. The study’s findings suggest that AI teammates’ level of participation in teamwork processes influences human teammate’s perceptions and teaming experiences with their AI teammate.
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