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

Assessing individual performance within the context of synthetic interactions is a challenging task. This review explores current methodologies for assessing human performance with AI, identifying both advantages and shortcomings. Furthermore, the review proposes a novel incentive system designed to improve human efficiency during AI engagements.

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