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 explores current approaches for measuring human engagement with AI, identifying both advantages and shortcomings. Furthermore, the review proposes a novel reward framework designed to optimize human efficiency during AI interactions. Th