Inducing State Anxiety in LLM Agents Reproduces Human-Like Biases in Consumer Decision-Making

Abstract excerpt

<title>Abstract</title> <p>Large language models (LLMs) are rapidly evolving from text generators to autonomous agents, raising urgent questions about their reliability in real-world contexts. Stress and anxiety are well known to bias human decision-making, particularly in consumer choices. Here, we tested whether LLM agents exhibit analogous vulnerabilities. Three advanced models (ChatGPT-5, Gemini 2.5, Claude 3...

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• GPT gene
• Genomics and Rare Diseases
• Language
• Mental Disorders
• Phenotype

Identifiers and source

Literature Corpus work

cd8629fb-d99c-5b4d-8bf4-6c6477b902b6

DOI

10.21203/rs.3.rs-7587964/v1