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IF 2.9 2区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Patient Education and Counseling Pub Date : 2025-01-14 DOI:10.1016/j.pec.2025.108663

Federica Biassoni , Martina Gnerre

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引用次数: 0

摘要

目的：像 ChatGPT 这样的人工会话代理通常被寻求医疗保健信息的人所使用。本研究调查了 ChatGPT 在医疗保健环境中是否会根据疾病的性质（医疗或心理）和用户的交流风格（中立与表达关切）表现出不同的交流行为：方法：使用 ChatGPT 进行查询，以收集有关两种疾病（关节炎和焦虑症）的诊断和治疗信息，并使用不同的风格（中立与表达关切）。我们使用语言调查和字数统计（LIWC）对 ChatGPT 的回复进行了分析，以确定代理对不同询问和互动模式进行调整的语言标记。统计分析，包括重复测量方差分析和 K-均值聚类分析，确定了 ChatGPT 的回复模式：结果：ChatGPT 在治疗情境和心理询问中使用了更多引人入胜的语言。在中性语境中，它表现出更多的分析性思维，而在心理状况和用户表示担忧时，则表现出更高水平的同理心。与健康相关的语言在心理和治疗情境中更为普遍，而与疾病相关的语言在身体状况的诊断互动中更为常见。聚类分析揭示了两种截然不同的模式：在心理/表达担忧的情景中，移情和参与度较高，而在中性/身体疾病的情景中，移情和参与度较低：这些研究结果表明，ChatGPT 的反应会根据疾病类型和互动情境的不同而有所变化，从而有可能提高其与患者互动的有效性：实践意义：通过语境和用户关心的语言调整，ChatGPT 可以提高患者参与度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Exploring ChatGPT's communication behaviour in healthcare interactions: A psycholinguistic perspective

Objectives

Conversational artificial agents such as ChatGPT are commonly used by people seeking healthcare information. This study investigates whether ChatGPT exhibits distinct communicative behaviors in healthcare settings based on the nature of the disorder (medical or psychological) and the user communication style (neutral vs. expressing concern).

Method

Queries were conducted with ChatGPT to gather information on the diagnosis and treatment of two conditions (arthritis and anxiety) using different styles (neutral vs. expressing concern). ChatGPT's responses were analyzed using Linguistic Inquiry and Word Count (LIWC) to identify linguistic markers of the agent's adjustment to different inquiries and interaction modes. Statistical analyses, including repeated measures ANOVA and k-means cluster analysis, identified patterns in ChatGPT's responses.

Results

ChatGPT used more engaging language in treatment contexts and psychological inquiries. It exhibited more analytical thinking in neutral contexts while demonstrating higher levels of empathy in psychological conditions and when the user expressed concern. Wellness-related language was more prevalent in psychological and treatment contexts, whereas illness-related language was more common in diagnostic interactions for physical conditions. Cluster analysis revealed two distinct patterns: high empathy and engagement in psychological/expressing-concern scenarios, and lower empathy and engagement in neutral/physical disease contexts.

Conclusions

These findings suggest that ChatGPT's responses vary according to disorder type and interaction context, potentially improving its effectiveness in patient engagement.

Practice implications

Through context and user-concern language adaptation, ChatGPT can enhance patient engagement.

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来源期刊

Patient Education and Counseling 医学-公共卫生、环境卫生与职业卫生

CiteScore

5.60

自引率

11.40%

发文量

384

审稿时长

46 days

期刊介绍： Patient Education and Counseling is an interdisciplinary, international journal for patient education and health promotion researchers, managers and clinicians. The journal seeks to explore and elucidate the educational, counseling and communication models in health care. Its aim is to provide a forum for fundamental as well as applied research, and to promote the study of organizational issues involved with the delivery of patient education, counseling, health promotion services and training models in improving communication between providers and patients.