This invention describes a system that monitors how a caller interacts with an automated phone system, like an IVR. It tracks specific actions, such as how many times a caller makes an error or fails to complete a task, to calculate a 'satisfaction score'. If this score indicates the caller is frustrated, the system automatically transfers the call to a human agent and shows the agent the caller's frustration level.
Why it matters: Filed before advanced AI could deeply analyze speech interaction details. While the claims specify simpler metrics like error counts, today's LLMs can derive a far more nuanced satisfaction score from conversational context and sentiment, making the system more effective.
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