Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing user competence within the context of synthetic interactions is a multifaceted endeavor. This review examines current methodologies for evaluating human performance with AI, emphasizing both capabilities and weaknesses. Furthermore, the review proposes a innovative reward structure designed to optimize human productivity during AI collabo