Assessing individual effectiveness within the context of synthetic interactions is a challenging problem. This review explores current methodologies for evaluating human interaction with AI, highlighting both strengths and weaknesses. Furthermore, the review proposes a unique reward framework designed to optimize human productivity during AI intera

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