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

Assessing individual performance within the context of synthetic interactions is a complex endeavor. This review analyzes current methodologies for evaluating human engagement with AI, highlighting both advantages and weaknesses. Furthermore, the review proposes a innovative bonus structure designed to optimize human productivity during AI interact

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