November 9, 2025Open Access

From Measurement to Expertise: Empathetic Expert Adapters for Context-Based Empathy in Conversational AI Agents

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Analysis reveals a 72.66% reduction in empathy gaps using empathetic expert adapters in conversational AI, indicating improved user experience.

Empathy improves user experiences in conversational AI, fostering better interactions.
Empathetic expert adapters reduce perceived and desired empathy gaps by 72.66%, enhancing interaction quality.
Analysis of a conversational dataset highlighted the necessity for context-specific empathy in user communications.
Significant improvements maintained across conversation turns showcase the robustness of the empathetic model.

Shayegani et al. (2025) studied this question.

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Analysis reveals a 72.66% reduction in empathy gaps using empathetic expert adapters in conversational AI, indicating improved user experience.