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Supporting repo for paper: Assessing Personality Using Zero-Shot Generative AI Scoring of Brief Open-Ended Text

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SripadaLab/personality_llm_zero_shot

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Assessing Personality Using Zero-Shot Generative AI Scoring of Brief Open-Ended Text

Short reproducible pipeline for inferring Big Five / IPIP-NEO-120 traits from open-ended diary and spontaneous thought text using zero-shot large language models. Companion to the preprint.

Paper

Wright, A. G. C., Ringwald, W. R., Vize, C., Eichstaedt, J. C., Angstadt, M., Taxali, A., & Sripada, C. (2025). Assessing Personality Using Zero-Shot Generative AI Scoring of Brief Open-Ended Text. PsyArXiv preprint.

Features

  • Zero-shot personality scoring from open-ended narratives (daily diaries / spontaneous thought).
  • Multi-model aggregation (e.g., OpenAI, Anthropic, Gemini, etc.) with deterministic seeding.
  • Alignment against standard inventories (IPIP-NEO-120) and profile-level analyses.
  • Utilities for prompt construction, score conversion, and result collation for paper figures/tables.

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Supporting repo for paper: Assessing Personality Using Zero-Shot Generative AI Scoring of Brief Open-Ended Text

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