Assessing user performance within the context of artificial intelligence is a complex problem. This review examines current methodologies for evaluating human interaction with AI, emphasizing both advantages and weaknesses. Furthermore, the review proposes a novel reward structure designed to optimize human efficiency during AI collaborations. T

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