Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing individual competence within the context of synthetic interactions is a multifaceted endeavor. This review explores current methodologies for evaluating human engagement with AI, emphasizing both strengths and limitations. Furthermore, the review proposes a unique incentive structure designed to optimize human efficiency during AI engagem