Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing user competence within the context of synthetic interactions is a challenging problem. This review explores current methodologies for assessing human engagement with AI, identifying both advantages and weaknesses. Furthermore, the review proposes a innovative reward structure designed to optimize human productivity during AI collaboration