Assessing user effectiveness within the context of synthetic systems is a challenging problem. This review analyzes current techniques for evaluating human interaction with AI, identifying both capabilities and shortcomings. Furthermore, the review proposes a novel reward framework designed to optimize human productivity during AI collaborations.

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