使用GPT-4o及其他大型语言模型改进与设计人际沟通技能测量自评量表
The use of GPT-4o and Other Large Language Models for the Improvement and Design of Self-Assessment Scales for Measurement of Interpersonal Communication Skills
AI总结：
本文探讨了利用GPT-4o等大型语言模型辅助设计和改进人际沟通技能自评量表，涵盖条目筛选、内容效度评估及自动化生成，并提供了实用提示词与潜在益处总结。
摘要：
OpenAI的ChatGPT（GPT-4和GPT-4o）及其他大型语言模型（LLMs），如Microsoft的Copilot、Google的Gemini 1.5 Pro和Anthropic的Claude 3.5 Sonnet，可有效用于科学研究的各个阶段。它们在多样化言语任务和推理中的表现接近或高于人类平均水平，且正在迅速提升，这为这些模型提供了类似于较高水平心智理论的能力。LLMs当前处理人类心理学与沟通信息的能力，为其在人格心理学和人际沟通技能领域的科学应用创造了机会。本文展示了使用GPT-4o及其他先进LLMs完成人际沟通技能测量自评量表设计典型任务的可行用法，如量表条目的选择与改进，以及量表内容效度的评估。同时，还展示了自动化条目生成与应用的潜力。案例研究示例附带了可用于这些目的的LLMs提示词。最后，总结了在人际沟通技能自评量表的评估、设计和改进过程中使用LLMs的潜在益处。
英文摘要：
OpenAI's ChatGPT (GPT-4 and GPT-4o) and other Large Language Models (LLMs) like Microsoft's Copilot, Google's Gemini 1.5 Pro, and Antrophic's Claude 3.5 Sonnet can be effectively used in various phases of scientific research. Their performance in diverse verbal tasks and reasoning is close to or above the average human level and rapidly increasing, providing those models with a capacity that resembles a relatively high level of theory of mind. The current ability of LLMs to process information about human psychology and communication creates an opportunity for their scientific use in the fields of personality psychology and interpersonal communication skills. This article illustrates the possible uses of GPT-4o and other advanced LLMs for typical tasks in designing self-assessment scales for interpersonal communication skills measurement like the selection and improvement of scale items and evaluation of content validity of scales. The potential for automated item generation and application is illustrated as well. The case study examples are accompanied by prompts for LLMs that can be useful for these purposes. Finally, a summary is provided of the potential benefits of using LLMs in the process of evaluation, design, and improvement of interpersonal communication skills self-assessment scales.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
