Assessing user performance within the context of synthetic systems is a multifaceted task. This review examines current techniques for assessing human performance with AI, highlighting both strengths and limitations. Furthermore, the review proposes a innovative incentive framework designed to optimize human efficiency during AI interactions. Th

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