Assessing human effectiveness within the context of synthetic systems is a challenging problem. This review examines current approaches for measuring human interaction with AI, emphasizing both capabilities and limitations. Furthermore, the review proposes a novel incentive framework designed to improve human productivity during AI interactions.

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