Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing user performance within the context of synthetic interactions is a challenging endeavor. This review analyzes current approaches for measuring human interaction with AI, highlighting both advantages and shortcomings. Furthermore, the review proposes a unique reward structure designed to optimize human productivity during AI interactions.