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

Assessing user performance within the context of synthetic interactions is a challenging task. This review analyzes current techniques for evaluating human performance with AI, highlighting both strengths and limitations. Furthermore, the review proposes a novel reward framework designed to optimize human productivity during AI collaborations. T

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