Assessing individual effectiveness within the context of AI interactions is a multifaceted task. This review examines current approaches for evaluating human performance with AI, emphasizing both advantages and weaknesses. Furthermore, the review proposes a innovative reward structure designed to improve human performance during AI interactions.

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