Assessing user performance within the context of AI systems is a multifaceted endeavor. This review explores current techniques for evaluating human engagement with AI, emphasizing both advantages and limitations. Furthermore, the review proposes a novel reward framework designed to optimize human productivity during AI engagements. The review s

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