Assessing user performance within the context of AI systems is a multifaceted problem. This review analyzes current methodologies for assessing human interaction with AI, emphasizing both strengths and limitations. Furthermore, the review proposes a novel incentive framework designed to improve human efficiency during AI engagements. The review

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