Assessing user performance within the context of AI systems is a multifaceted problem. This review explores current methodologies for assessing human interaction with AI, emphasizing both advantages and shortcomings. Furthermore, the review proposes a novel reward system designed to improve human efficiency during AI interactions. The review syn

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