Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing user competence within the context of synthetic interactions is a complex problem. This review analyzes current approaches for evaluating human performance with AI, emphasizing both advantages and shortcomings. Furthermore, the review proposes a innovative incentive structure designed to optimize human productivity during AI interactions.