【摘要】 AI医生逐渐成为老年人获取健康信息与辅助诊疗的重要渠道。然而，老年人在与智能体交互中常出现对信息的认知不协调与信息采纳障碍。文章探讨了AI医生信息可解释性对老年人健康信息采纳意愿的影响机制。依据加工流畅性理论，通过两个实验验证AI医生信息特征的作用路径。实验一采用组间设计，检验AI医生信息的流畅性与解释方式对不同年龄群体健康信息采纳意愿的影响；实验二进一步引入认知失调与信息效能变量，构建链式中介模型，以分析老年人在健康信息采纳过程中的心理机制。结果表明，相较于年轻人，老年人对AI医生解释性信息的敏感度更高。高流畅性与深度思考型解释方式均显著提升老年人采纳意愿，其中流畅性作用更强；AI医生信息可解释性通过“降低认知失调-提升信息效能”的链式中介路径影响老年人的健康信息采纳意愿。研究揭示了AI医生信息可解释性特征影响老年人健康决策的完整心理路径，为医疗智能体的适老化设计和应用提出建议。更多还原

【Abstract】 AI doctors are becoming key channels for elder adults to access health information and receive medical assistance. However, elder adults often experience cognitive dissonance and information adoption barriers during interaction with intelligent agents. To adress this, this article explores the mechanism by which the explainability of AI doctor information influences elder adults’ willingness to adopt health information. Based on the theory of processing fluency, two parallel experiments were conducted. Study 1 employed a between-subjects design to examined how linguistic fluency and explanation style influenced AI doctor information adoption across different age groups. Study 2 further introduced cognitive dissonance and information efficacy as mediators variables to construct a chained mechanism model, analyzing the psychological mechanism of elder adults in the process of health information adoption. Results indicate that compared to younger adults, elder adults exhibit greater sensitivity to AI-generated explanatory information. Both high linguistic fluency and deep, deliberative thinking explanatory styles significantly enhance elder adults’ adoption willingness, with fluency exerting a stronger effect. The explainability of AI doctor information influences older adults’ adoption willingness through a chained mediating pathway:“reducing cognitive dissonance—enhancing information efficacy.” This study reveals the complete psychological pathway through which AI doctor information explainability influences older adults’ health decisions, offering recommendations for age-friendly design and application of medical AI agents.更多还原