Hyland, Ryan and Newsham, Lewis and Prince, Daniel (2026) Exploring the Manifestation of Schwartz’s Basic Human Values in Large Language Models. In: Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security, 2026-06-11 - 2026-06-12.
SCHWARTZ_NLPAICS_2026.pdf - Accepted Version
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Abstract
This study investigates the manifestation of Schwartz's Theory of Basic Human Values (STBV) within a pre-trained Large Language Model (LLM) by evaluating how persona prompting influences the model's responses. Specifically, we use prompt-based persona induction to represent Schwartz’s ten broad value types (e.g., Universalism, Achievement) and measure their effects using the model’s responses to the Portrait Values Questionnaire Revised (PVQ-RR). A neutral persona and human baseline serve as control conditions to assess the influence of persona prompting. Prompting strategies are also compared. Results show that value-based persona prompts systematically shift the model’s PVQ-RR response profiles, indicating that LLM questionnaire responses can be steered along Schwartz value dimensions under controlled prompting conditions. These findings suggest that value-based persona prompts may be useful for studying and configuring the expressed response profiles of LLM-based agents. Using Schwartz’s values as a structured measurement framework provides a way to evaluate how LLM responses change under persona prompting and offers a basis for future studies of value-conditioned agent behaviour.