Assessing individual effectiveness within the context of AI interactions is a complex problem. This review analyzes current techniques for evaluating human engagement with AI, highlighting both capabilities and weaknesses. Furthermore, the review proposes a novel incentive framework designed to enhance human performance during AI collaborations.
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