Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing user effectiveness within the context of synthetic interactions is a multifaceted task. This review analyzes current techniques for assessing human interaction with AI, identifying both capabilities and weaknesses. Furthermore, the review proposes a unique reward framework designed to improve human productivity during AI collaborations.