Assessing user effectiveness within the context of synthetic intelligence is a challenging problem. This review explores current techniques for measuring human interaction with AI, highlighting both strengths and weaknesses. Furthermore, the review proposes a novel incentive structure designed to improve human performance during AI interactions.

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