Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing user effectiveness within the context of synthetic interactions is a complex problem. This review analyzes current methodologies for assessing human performance with AI, emphasizing both strengths and weaknesses. Furthermore, the review proposes a unique incentive framework designed to enhance human productivity during AI interactions.