Understanding user satisfaction in conversational AI In the rapidly evolving landscape of artificial intelligence, chatbots have become a cornerstone of customer service, support, and engagement across various industries. Despite their widespread adoption, one of the persistent challenges remains: accurately gauging user satisfaction. Understanding whether users are truly satisfied with their interactions is crucial for refining chatbot performance, enhancing user experience and trust, and ensuring business objectives are met. However, measuring satisfaction in conversational AI systems is far from straightforward. Traditional metrics like response accuracy or completion rates often fail to capture the nuanced sentiments and perceptions of users. As a […]
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