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This is a Quantitative Study study.

October 3, 2025Open Access

Using AI to replicate human experimental results: a motion study

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LLMs demonstrated a strong convergence with human responses in four psycholinguistic studies, reinforcing their value.
Statistical analyses indicate strong correlations in rating patterns, with Spearman's rho ranging from .73 to .96 across tasks.
AI's ability to replicate nuanced judgements from human participants raises questions about traditional research methods and data expansion.
Findings suggest that LLMs can enhance research validity and help generate hypotheses without compromising on quality.

Authors

RCRosa Illán CastilloUniversidad de Murcia JVJavier ValenzuelaUniversidad de Murcia

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Implication

Psycholinguistic studies reveal that large language models can replicate human responses, suggesting reliable AI collaboration in linguistic research.

Cite This Study

Castillo et al. (2025) studied this question.

synapsesocial.com/papers/68e040e5a99c246f578b2e76 https://doi.org/10.48550/arxiv.2507.10342

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Implication

Psycholinguistic studies reveal that large language models can replicate human responses, suggesting reliable AI collaboration in linguistic research.

Using AI to replicate human experimental results: a motion study

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Implication

Cite This Study

Using AI to replicate human experimental results: a motion study

Key Points

Discussion

Implication

Cite This Study

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