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论文编号：	15313
作者编号：	2120233732
上传时间：	2025/6/5 8:01:16
中文题目：	AI生成健康信息的信息源披露对个体信息采纳意愿及其影响机制研究
英文题目：	Research on the Impact of Information Source Disclosure of AI-Generated Health Information on Individuals'' Information Adoption Intention and Its Mechanism
指导老师：	张晓飞
中文关键字：	AI生成的健康信息；信息采纳意愿；信任；疾病严重性；精细加工可能性模型
英文关键字：	AI-generated Health Information; Willingness to Adopt Information; Trust; Disease severity; Elaboration Likelihood Model
中文摘要：	使用人工智能（AI）生成健康信息已逐渐成为在线医疗服务发展的一大重要方向，在此背景下，个体对AI生成的健康信息的采纳意愿十分重要。然而，现有研究指出，在医疗保健这一充满不确定性和疾病风险的情景中个体对AI生成健康信息的采纳意愿可能较低。此外，由于健康素养的普遍不足，人们对健康信息的内容质量的判断能力较低。有鉴于此，本研究旨在探索可以有效提高个体AI生成健康信息采纳意愿的特征。基于精细加工可能性模型的外围路径视角、来源可信度理论和不确定性降低理论，同时考虑到疾病严重性对个体健康信息搜寻和决策过程的重要情景性影响，本研究旨在基于高低两种疾病严重性水平的背景下探索信息源披露这一启发式线索对个体信任和信息采纳意愿的影响。此外，本研究一并探索了作为个体技术信念的AI信任对信息源披露影响可能产生的调节作用。本研究采用情景实验法验证所提出的研究模型，高低两种疾病严重性情景分别收集到有效样本294和290份。分析结果表明，低疾病严重性情景下，AI生成健康信息的信息源披露对个体的信息采纳意愿存在显著的直接影响，信任在这一影响中起到了完全中介作用，AI信任对信息源披露与信任之间的关系有正向调节作用，而对信息源披露与采纳意愿之间的关系无显著调节作用；高疾病严重性情景下，AI生成健康信息的信息源披露对个体的信息采纳意愿存在显著的直接影响，信任的中介作用同时存在，但表现为部分中介，AI信任未产生任何显著的调节效应。研究发现对理解AI生成的健康信息这一新情景下的个体信息采纳意愿及改进AI设计以促进人们对AI技术的采纳和使用具有重要的理论和实践意义。
英文摘要：	The use of artificial intelligence (AI) to generate health information has gradually emerged as an important direction in the development of online medical services. In this context, individuals' willingness to adopt AI-generated health information is of paramount importance. However, existing research suggests that individuals' adoption intentions toward AI-generated health information may be relatively low in healthcare settings characterized by uncertainty and disease risks. Additionally, due to the widespread lack of health literacy, individuals often have limited ability to assess the quality of health information. In light of these challenges, this study aims to explore features that can effectively enhance individuals' willingness to adopt AI-generated health information. Drawing on the peripheral route perspective of the Elaboration Likelihood Model, Source Credibility Theory, and Uncertainty Reduction Theory, and considering the significant contextual influence of disease severity on individuals' health information-seeking and decision-making processes, this study investigates the impact of information source disclosure—a heuristic cue—on individuals' trust and information adoption intentions under both high and low disease severity conditions. Furthermore, this study examines the potential moderating role of AI trust, defined as individuals' beliefs about the technology itself, in the relationship between information source disclosure and trust and information adoption intention. A scenario-based experimental method was employed to test the proposed research model, with 294 and 290 valid responses collected for the low and high disease severity scenarios, respectively. The results indicate that, in the low disease severity scenario, information source disclosure of AI-generated health information does not have a significant direct effect on individuals' adoption intentions but can enhance adoption intentions through the mediating role of trust. Additionally, AI trust positively moderates the relationship between information source disclosure and trust. In the high disease severity scenario, information source disclosure has a significant direct effect on individuals' adoption intentions, and the mediating role of trust is also significant; however, AI trust does not exhibit any significant moderating effect. The findings contribute to a deeper understanding of individuals' information adoption intentions in the novel context of AI-generated health information and offer important theoretical and practical implications for improving AI design to promote the adoption and use of AI technologies.
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