This study presents a framework for conducting psychological and linguistic research through simulated conversations using large language models (LLMs). The proposed methodology offers significant advantages, particularly for simulating human interactions involving potential unethical language or behaviors that would be impermissible in traditional experiments with human participants. As a demonstration, we employed LLMs to simulate family conversations across four parenting styles (authoritarian, authoritative, permissive, and uninvolved). In general, we observed that the characteristics of the four parenting styles were portrayed in the simulated conversations. Several strategies could be used to improve the simulation quality, such as including context awareness, employing a few-shot prompting approach or fine-tuning models to cater to specific simulation requirements. Overall, this study introduces a promising methodology for conducting psychological and linguistic research through simulated conversations, while acknowledging the current limitations and proposing potential solutions for future refinement and improvement.
翻译:本研究提出了一个通过大语言模型(LLMs)模拟对话来开展心理学与语言学研究的框架。该研究方法具有显著优势,尤其适用于模拟在传统人类参与者实验中不被允许的、涉及潜在不道德语言或行为的人际互动。作为演示,我们采用LLMs模拟了四种教养风格(专制型、权威型、放任型与忽视型)下的家庭对话。总体而言,我们观察到这四种教养风格的特征在模拟对话中得到了呈现。可通过多种策略提升模拟质量,例如引入情境感知、采用少样本提示方法或微调模型以满足特定模拟需求。总体而言,本研究引入了一种通过模拟对话开展心理学与语言学研究的前瞻性方法,同时承认了当前存在的局限性,并提出了未来改进与优化的潜在解决方案。