LLM digital personas improve alignment with human survey response distributions for stable attributes but remain limited for individual prediction and fail to recover multivariate respondent structure.
Ang Li, Haozhe Chen, Hongseok Namkoong, and Tianyi Peng
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
In real human subjects, AI transparency impacts imperfectly cooperative interactions far more than personality traits, unlike simulations where both are comparably influential.
citing papers explorer
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When Can Digital Personas Reliably Approximate Human Survey Findings?
LLM digital personas improve alignment with human survey response distributions for stable attributes but remain limited for individual prediction and fail to recover multivariate respondent structure.
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Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
In real human subjects, AI transparency impacts imperfectly cooperative interactions far more than personality traits, unlike simulations where both are comparably influential.