AI assistants such as Alexa, Google Assistant, and Siri, are making their way into the healthcare sector, offering a convenient way for users to access different healthcare services. Trust is a vital factor in the uptake of healthcare services, but the factors affecting trust in voice assistants used for healthcare are under-explored and this specialist domain introduces additional requirements. This study explores the effects of different functional, personal, and risk factors on trust in and adoption of healthcare voice AI assistants (HVAs), generating a partial least squares structural model from a survey of 300 voice assistant users. Our results indicate that trust in HVAs can be significantly explained by functional factors (usefulness, content credibility, quality of service relative to a healthcare professional), together with security, and privacy risks and personal stance in technology. We also discuss differences in terms of trust between HVAs and general-purpose voice assistants as well as implications that are unique to HVAs.

翻译：诸如Alexa、Google Assistant和Siri等人工智能助手正逐步进入医疗保健领域，为用户获取不同医疗服务提供便利。信任是医疗服务采纳中的关键因素，但影响用户对医疗语音助手信任的因素尚未得到充分探索，而这一专业领域又引入了额外要求。本研究探讨了不同功能因素、个人因素和风险因素对医疗语音AI助手信任度及采纳的影响，通过对300名语音助手用户进行问卷调查，生成了偏最小二乘结构方程模型。我们的研究结果表明，医疗语音AI助手的信任度可显著由功能因素（有用性、内容可信度、相对于医疗专业人员的服务质量）、安全性、隐私风险以及个人技术立场等因素解释。我们还讨论了医疗语音AI助手与通用型语音助手在信任方面的差异，以及医疗语音AI助手所独有的应用启示。