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

Assessing human performance within the context of synthetic interactions is a multifaceted endeavor. This review analyzes current techniques for measuring human interaction with AI, identifying both capabilities and limitations. Furthermore, the review proposes a novel reward system designed to optimize human efficiency during AI interactions. T

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