Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing individual competence within the context of synthetic interactions is a complex problem. This review analyzes current techniques for measuring human performance with AI, emphasizing both capabilities and weaknesses. Furthermore, the review proposes a unique reward framework designed to optimize human productivity during AI engagements.