Assessing user performance within the context of synthetic systems is a multifaceted task. This review explores current approaches for evaluating human interaction with AI, highlighting both strengths and shortcomings. Furthermore, the review proposes a novel reward framework designed to optimize human performance during AI interactions. The rev

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