Assessing individual competence within the context of synthetic interactions is a complex task. This review analyzes current methodologies for measuring human engagement with AI, emphasizing both advantages and shortcomings. Furthermore, the review proposes a unique reward framework designed to optimize human efficiency during AI interactions. T

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