Using AI-Based Virtual Simulated Patients for Training in Psychopathological Interviewing: Cross-Sectional Observational Study
Daniel García-Torres, César Fernández, José Joaquín Mira, Alexandra Morales, María Asunción Vicente · 2025
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Description
Practicing a diagnostic interview on a real patient is risky, so one Spanish team let students rehearse on AI patients instead. Daniel García-Torres and co-authors logged 1,832 interviews in 2025, where 156 psychology students questioned thirteen virtual patients set to different randomness levels. After each chat, students rated the session and noted strengths and flaws.
Ratings averaged near nine out of ten, with women rating higher than men. Glitchy connections dragged scores down, and the liveliest setting, the highest randomness, was liked best. Nearly all students felt their diagnostic skill had improved, though exam scores matched the prior year's class. The authors see such patients as a well-liked rehearsal tool whose real learning payoff still needs proof.
Catalog record
| CREATOR | Daniel García-Torres, César Fernández, José Joaquín Mira, Alexandra Morales, María Asunción Vicente |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |