Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing individual competence within the context of synthetic systems is a multifaceted endeavor. This review examines current methodologies for measuring human performance with AI, identifying both capabilities and shortcomings. Furthermore, the review proposes a novel reward framework designed to improve human productivity during AI interaction