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

Assessing user performance within the context of synthetic interactions is a challenging problem. This review explores current techniques for measuring human engagement with AI, identifying both advantages and weaknesses. Furthermore, the review proposes a unique incentive framework designed to improve human performance during AI interactions. T