Article

Simulating Lay Health-Seeking Behavior with LLM Personas and Illness Vignettes: Reproducibility, Prompt Sensitivity, and Slice Dependence

2026-03-29

Abstract excerpt

Large language models (LLMs) are increasingly used as “synthetic respondents” to simulate human judgments and decision-making. In healthcare-adjacent settings, a key methodological risk is that simulated behavior may be sensitive to prompt framing, stochastic decoding, and the scenario slice being tested (e.g., red-flag vs non–red-flag situations). We present a fully synthetic, non-human-subject methodological aud...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6693a8c4-f992-5c57-87b6-fff3ef7006ad
DOI: 10.32388/be0zbc.2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Simulating Lay Health-Seeking Behavior with LLM Personas and Illness Vignettes: Reproducibility, Prompt Sensitivity, and Slice DependenceDOI 10.32388/be0zbc.2Read

Simulating Lay Health-Seeking Behavior with LLM Personas and Illness Vignettes: Reproducibility, Prompt Sensitivity, and Slice DependenceSemantic proximity Read

LLMs Can Do Medical Harm: Stress-Testing Clinical Decisions Under Social PressureSemantic proximity Read

Large Language Models Are Highly Vulnerable to Adversarial Hallucination Attacks in Clinical Decision Support: A Multi-Model Assurance AnalysisSemantic proximity Read

Can LLMs Get High? A Dual-Metric Framework for Evaluating Psychedelic Simulation and Safety in Large Language ModelsSemantic proximity Read

An interdisciplinary, randomized, single-blind evaluation of state-of-the-art large language models for their implications and risks in medical diagnosis and managementSemantic proximity Read

How Can I Stay Healthy? – Benchmarking Large Language Models for Personalized and Biomarker-Based Intervention RecommendationsSemantic proximity Read

Human Evaluators vs. LLM-as-a-Judge: Toward Scalable, Real-Time Evaluation of GenAI in Global HealthSemantic proximity Read

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language ModelsSemantic proximity Read

Impact of LLM Assistance on Physician Decision-Making: A Multi-Country Randomized Controlled Trial <sup>∗</sup>Semantic proximity Read

Evaluating anti-LGBTQIA+ medical bias in large language modelsSemantic proximity Read

Impact of Patient Communication Style on Agentic AI-Generated Clinical Advice in E-MedicineSemantic proximity Read

Evaluating Sycophancy in Frontier Models Using Persona-Driven ChallengeSemantic proximity Read