LLMs produce highly formulaic empathic replies that follow a shared tactic sequence matching most of their responses, while human replies are more diverse.
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2 Pith papers cite this work, alongside 5 external citations. Polarity classification is still indexing.
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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.
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AI generates well-liked but templatic empathic responses
LLMs produce highly formulaic empathic replies that follow a shared tactic sequence matching most of their responses, while human replies are more diverse.
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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.