Assessing user performance within the context of artificial systems is a multifaceted endeavor. This review explores current methodologies for measuring human interaction with AI, highlighting both advantages and shortcomings. Furthermore, the review proposes a innovative bonus structure designed to improve human performance during AI interactions.

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