How sensitive do we want AI to be? Socio-communicative competencies of large language models in healthcare
Background. Effective clinical practice relies heavily on the socio-communicative skills of medical professionals. Large language models (LLMs) have been proposed for tasks such as triaging patients, report drafting or translating medical jargon to support informed decision-making. These applications require both factual and social competence. This study evaluates dialogues between LLMs and participants to assess the current state of socio-communicative competencies displayed in LLM-generated texts. Methods. We extracted a subset of extended dialogues from the HELP-Med dataset, comprising 1800 conversation transcripts of interactions between human participants seeking medical information ...
| Authors | Dorothee Amelung, Andrew M. Bean, Sabine C. Herpertz et al. |
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| Primary category | cs.HC |
| Published | 29 June 2026 |
| Last updated at source | 29 June 2026 |
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