This research introduces a Personality Structured Interview (PSI) approach to improve how LLMs simulate human personality traits and responses, addressing the critical lack of diversity in current models.

• Creates more heterogeneous data that better reflects human diversity
• Grounds AI simulations in established personality theory frameworks
• Enables more realistic personality research without human participants
• Offers structured methodology for improving LLM behavioral simulation

Medical Impact: This approach could significantly enhance mental health research and clinical psychology applications by creating more realistic patient simulations for training and assessment, potentially improving diagnostic accuracy and treatment planning without privacy concerns.

Personality Structured Interview for Large Language Model Simulation in Personality Research