Assessing human performance within the context of synthetic interactions is a complex problem. This review analyzes current methodologies for assessing human interaction with AI, highlighting both advantages and weaknesses. Furthermore, the review proposes a unique bonus framework designed to optimize human productivity during AI interactions. T

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