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

Assessing user effectiveness within the context of synthetic interactions is a multifaceted endeavor. This review analyzes current approaches for evaluating human interaction with AI, identifying both strengths and limitations. Furthermore, the review proposes a innovative incentive framework designed to improve human productivity during AI interac

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