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

Assessing user performance within the context of synthetic systems is a multifaceted task. This review explores current techniques for evaluating human interaction with AI, emphasizing both advantages and limitations. Furthermore, the review proposes a innovative reward framework designed to optimize human performance during AI collaborations. T

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