Assessing user competence within the context of synthetic interactions is a challenging endeavor. This review examines current techniques for evaluating human interaction with AI, identifying both advantages and limitations. Furthermore, the review proposes a unique reward framework designed to enhance human productivity during AI engagements. T

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