用人格推理提升文化价值观模拟，让AI更懂人类心理。
Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning
- 基于MBTI人格理论构建多阶段认知推理框架
- 在世界价值观调查上准确率提升10%，更贴近人类偏好
- 适合社会科学研究与零样本个性化建模
提出MARK——一种用于文化价值观调查响应模拟的多阶段推理框架，旨在提升大语言模型在该任务中的准确性、可控性与可解释性。该框架受MBTI人格理论中类型动态机制启发，通过生活情境压力分析、群体层面人格预测以及自我加权认知模仿，有效利用人口统计信息进行模拟。在世界价值观调查（World Values Survey）上的实验表明，MARK相较于现有基线模型准确率提升10%，并显著缩小了模型预测与人类偏好之间的差异。结果表明，该框架在实现零样本个性化和帮助社会科学家理解模型决策方面具有潜力。
原文摘要 · Abstract (English)
Introducing MARK, the Multi-stAge Reasoning frameworK for cultural value survey response simulation, designed to enhance the accuracy, steerability, and interpretability of large language models in this task. The system is inspired by the type dynamics theory in the MBTI psychological framework for personality research. It effectively predicts and utilizes human demographic information for simulation: life-situational stress analysis, group-level personality prediction, and self-weighted cognitive imitation. Experiments on the World Values Survey show that MARK outperforms existing baselines by 10% accuracy and reduces the divergence between model predictions and human preferences. This highlights the potential of our framework to improve zero-shot personalization and help social scientists interpret model predictions.
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