Anthropomorphism and Trust in Human-Large Language Model interactions
With large language models (LLMs) becoming increasingly prevalent in daily life, so too has the tendency to attribute to them human-like minds and emotions, or anthropomorphize them. Here, we investigate dimensions people use to anthropomorphize and attribute trust toward LLMs across more than 2,000 human-LLM interactions. Participants (N=115) engaged with LLM chatbots systematically varied in warmth (friendliness), competence (capability, coherence), and empathy (cognitive and affective). Warmth and cognitive empathy significantly predicted perceptions on all outcomes (perceived anthropomorphism, trust, similarity, relational closeness, frustration, usefulness), while competence predicte...
| Authors | Akila Kadambi, Ylenia D'Elia, Tanishka Shah et al. |
|---|---|
| Primary category | cs.HC |
| Published | 1 March 2026 |
| Last updated at source | 1 March 2026 |
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