Assessing user performance within the context of artificial interactions is a multifaceted problem. This review examines current methodologies for evaluating human engagement with AI, emphasizing both strengths and shortcomings. Furthermore, the review proposes a innovative bonus framework designed to optimize human efficiency during AI collaborati

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