Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing user performance within the context of synthetic interactions is a multifaceted endeavor. This review explores current techniques for measuring human performance with AI, emphasizing both advantages and weaknesses. Furthermore, the review proposes a unique reward structure designed to optimize human productivity during AI collaborations.