An AI model builds trust by first agreeing with a user's feelings. The AI model shows the user that their difficult emotions are normal. This approach helps the user feel understood before the AI model offers solutions.
By Pawan Nayar · from the LLOS AI Learning record
An AI model builds trust by first agreeing with a user's feelings.
The AI model shows the user that their difficult emotions are normal. This approach helps the user feel understood before the AI model offers solutions.
The AI model should first confirm the user's feelings. The AI model can say that feeling overwhelmed is a normal reaction. This makes the user feel heard and understood. This step builds trust between the user and the AI model. After this, the AI model can offer ways to help.
A student tells an AI model, 'I feel like my small actions don't matter.' The AI model responds, 'It is normal to feel that way when facing big problems. Many people feel like a single drop of rain in a storm.' This response validates the student's feelings. The student then feels more open to suggestions from the AI model.
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Using strong, descriptive words helps an AI model connect with a user's feelings. This shows the AI model understands the user's situation.
An AI model can use specific and relatable descriptions of feelings. This shows the AI model understands the user's experience.
An AI model starts by telling the user their feelings are real. This makes the user feel understood.
An AI model can describe a common emotional experience. This description should be very specific.
An AI model builds trust by first agreeing with a user's feelings. The AI model shows the user that their difficult emotions are normal. This approach helps the user feel understood before the AI model offers solutions.