How Well Do Simulated Population Samples with GPT-4 Align with Real Ones? The Case of the Eysenck Personality Questionnaire Revised-Abbreviated Personality Test
Background: Advances in artificial intelligence have enabled the simulation of human-like behaviors, raising the possibility of using large language models (LLMs) to generate synthetic population samples for research purposes, which may be particularly useful in health and social sciences. Methods:...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
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| Series: | Health Data Science |
| Online Access: | https://spj.science.org/doi/10.34133/hds.0284 |
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