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

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