All four leading LLMs talk more than they listen to personality-verified synthetic help-seekers
Large language models are increasingly consulted at moments of distress, yet single-turn benchmarks neither test sustained exchanges nor distinguish between users. We built a personality-aware evaluation in which four widely used models advised several synthetic help-seekers, each given a psychometrically specified profile, in an acute crisis: a caregiver learning of a relative's dementia diagnosis. Auditors blind to the profile prompt recovered the specified bands from dialogue alone with high agreement on every instrument (ICC(2,4) = 0.91; 0.79-0.96 by instrument; band-score r = 0.78), as expected for the Big Five but equally for coping style, coping self-efficacy, resilience and reacta...
| Authors | Pablo A. Fonseca, Raquel Rodríguez-Carvajal, Rafael A. Calvo |
|---|---|
| Primary category | cs.HC |
| Published | 23 August 2026 |
| Last updated at source | 23 August 2026 |
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