Assessing user performance within the context of synthetic intelligence is a complex endeavor. This review explores current approaches for assessing human interaction with AI, emphasizing both strengths and limitations. Furthermore, the review proposes a novel incentive framework designed to optimize human performance during AI interactions. The

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