LLMs generate empathic responses using a predictable template of 10 tactics that matches 83-90% of outputs and covers most of each response, while human responses are more diverse.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
Warmth and cognitive empathy in LLMs drive higher anthropomorphism, trust, and relational closeness, especially on personal topics, while competence affects usefulness but not perceived human-likeness.
citing papers explorer
-
AI generates well-liked but templatic empathic responses
LLMs generate empathic responses using a predictable template of 10 tactics that matches 83-90% of outputs and covers most of each response, while human responses are more diverse.
-
Anthropomorphism and Trust in Human-Large Language Model interactions
Warmth and cognitive empathy in LLMs drive higher anthropomorphism, trust, and relational closeness, especially on personal topics, while competence affects usefulness but not perceived human-likeness.