Assessing individual performance within the context of AI interactions is a multifaceted endeavor. This review examines current techniques for assessing human interaction with AI, emphasizing both advantages and limitations. Furthermore, the review proposes a novel reward structure designed to enhance human performance during AI collaborations.

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