Assessing human effectiveness within the context of synthetic interactions is a complex task. This review analyzes current approaches for assessing human interaction with AI, highlighting both capabilities and shortcomings. Furthermore, the review proposes a innovative reward framework designed to enhance human performance during AI interactions.

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