Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing user competence within the context of synthetic interactions is a complex task. This review analyzes current approaches for evaluating human interaction with AI, emphasizing both strengths and limitations. Furthermore, the review proposes a novel reward framework designed to optimize human performance during AI collaborations. The revi