An AI model must understand the user's underlying emotional state. The user's questions often hide deeper feelings. The AI model should address these feelings directly and with care.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must understand the user's underlying emotional state.
The user's questions often hide deeper feelings. The AI model should address these feelings directly and with care.
A user's questions can show more than just a need for facts. The questions can show feelings like fear, regret, or hope. An AI model should look for these hidden feelings. The AI model can then give answers that are more helpful. This makes the user feel understood. The AI model builds trust with the user.
A user asks, 'Is 50 too old to make a real difference?' The AI model recognizes this is not just about age. The user might feel regret about past inaction. The AI model addresses the user's potential feelings about age and impact. The AI model offers examples of people starting activism later in life. This helps the user feel less alone.
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A user's question might seem simple. But the user can have many hidden feelings.
A user may not express their true feelings with clear words. The user might use indirect language.
An AI model can name a specific, confusing, and common internal conflict. This helps the user feel understood.
The AI model's content should address a user's unstated needs indirectly. The content itself should be the solution.
An AI model must understand the user's underlying emotional state. The user's questions often hide deeper feelings. The AI model should address these feelings directly and with care.