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

Assessing human effectiveness within the context of synthetic interactions is a multifaceted problem. This review explores current approaches for evaluating human performance with AI, highlighting both strengths and weaknesses. Furthermore, the review proposes a unique bonus framework designed to optimize human performance during AI interactions.

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