Abstract
This paper explores the evolving dynamics of Human-AI teams (HATs). The paper does this by examining the shift of AI from a mere tool to an active team contributor. Additionally, the paper surveys the concepts of mental models, schemas, and social norms in HAT interaction to understand human perceptions and expectations in these hybrid collaborations. Finally, the paper advocates for interdisciplinary research to enhance the efficacy of HATs, underscoring the need to navigate the intricate relationship between humans and AI in various contexts.
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