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

Assessing user effectiveness within the context of artificial interactions is a multifaceted problem. This review analyzes current techniques for measuring human performance with AI, identifying both strengths and limitations. Furthermore, the review proposes a novel bonus framework designed to optimize human performance during AI interactions.

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