Human-autonomy teaming synthetic agent team cognition teamwork. Application This research contributes to our understanding of how to make autonomy a good team player. Conclusion Though there is potential for a synthetic agent to function as a full-fledged teammate, further advances in autonomy are needed to improve team-level dynamics in HAT teams. Experimenter teams performed better across all other measures compared to control and synthetic teams. The team’s project aims to address the challenge of human-bot cybersecurity teams (HBCTs), which are commonly deployed to combat cybersecurity threats and attacks but are not yet well understood. Results Synthetic teams performed as well at the mission level as control (all human) teams but processed targets less efficiently. As robots increasingly join human teams and collaborate with people on a variety of tasks, it seems reasonable to program these robots with the ability to positively contribute to important team social dynamics, like inclusion and psychological safety in order to maximize team performance. Measures of team performance, target processing efficiency, team situation awareness, and team verbal behaviors were analyzed. Methods In an unmanned aerial system (UAS) context, a comparison was made among three types of three-member teams: (1) synthetic teams in which the pilot role is assigned to a synthetic teammate, (2) control teams in which the pilot was an inexperienced human, and (3) experimenter teams in which an experimenter served as an experienced pilot. Further research must be conducted to better understand how all-human teams compare to HAT. Background Although an extensive literature on human-automation interaction exists, much less is known about HAT in which humans and autonomous agents interact as coordinated units. Objective Three different team configurations are compared with the goal of better understanding human-autonomy teaming (HAT).
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