EVALUATING HUMAN PERFORMANCE IN AI INTERACTIONS: A REVIEW AND BONUS SYSTEM

Assessing user effectiveness within the context of synthetic interactions is a complex endeavor. This review examines current methodologies for measuring human performance with AI, highlighting both strengths and shortcomings. Furthermore, the review proposes a innovative bonus system designed to optimize human productivity during AI engagements.

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