用语言捕捉人类认知风格:走向实验评估范式
Vasudha Varadarajan1, Syeda Mahwish1, Xiaoran Liu2
1Department of Computer Science, Stony Brook University.
Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting
|October 2, 2025
概括
这项研究引入了一项实验,以验证预测认知状态的语言模型. 决策话语中的语言风格准确地预测了一个人的认知风格和决策行为.
科学领域:
- 认知科学 认知科学
- 计算语言学 计算语言学
- 行为经济学是一种行为经济学.
背景情况:
- 传统的自然语言处理 (NLP) 模型使用文本评估认知状态,但它们的验证依赖于缺乏直接访问作者认知状态的注释.
- 行为科学通常使用实验来直接测量认知状态.
- 评估基于语言的认知风格模型的现有方法缺乏人类行为的实证依据.
研究的目的:
- 引入和验证基于实验的框架,用于对实际人类行为进行基于语言的认知风格模型的评估.
- 研究决策叙事中的语言风格与通过实验决策任务测量的认知风格之间的关系.
- 确定语言特征是否可以预测决策中的行为模式.
主要方法:
- 开发了一个实验框架,将语言分析与认知风格的行为测量联系起来.
- 招募参与者讨论最近的决定,捕捉他们的语言风格.
- 进行了经典的决策实验,以量化基于决策练习期间偏好转变的认知风格.
主要成果:
- 旨在捕捉认知风格的语言特征显示了参与者的决策风格的中等至高的预测准确性 (曲线下面面积~0.8).
- 该研究发现,关于决策的言论中的语言模式与实验测量的认知风格之间存在显著的相关性.
- 话语模式可以揭示一个人的认知风格的方面.
结论:
- 拟议的基于实验的框架为基于语言的认知风格模型的验证提供了一个强大的方法.
- 语言风格,特别是在决策的背景下,是潜在的认知风格的重要指标.
- 基于语言的模型有潜力通过对话语模式的分析来捕捉和揭示认知风格.
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