Article

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

2026-02-27

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, run-to-run stochasticity, and the slice of scenarios being tested (e.g., red-flag vs non–red-flag situations). We present a fully synthetic, non-human-subject study tha...

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Literature Corpus work: 68e03473-8f6d-5d7a-bdfc-e55febd8857b
DOI: 10.32388/be0zbc

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