Assessing user effectiveness within the context of synthetic interactions is a complex task. This review analyzes current methodologies for evaluating human engagement with AI, highlighting both advantages and shortcomings. Furthermore, the review proposes a novel incentive framework designed to improve human performance during AI interactions.

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