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AI assistants such as Alexa, Google Assistant, and Siri, are making their wayinto the healthcare sector, offering a convenient way for users to accessdifferent healthcare services. Trust is a vital factor in the uptake ofhealthcare services, but the factors affecting trust in voice assistants usedfor healthcare are under-explored and this specialist domain introducesadditional requirements. This study explores the effects of differentfunctional, personal, and risk factors on trust in and adoption of healthcarevoice AI assistants (HVAs), generating a partial least squares structural modelfrom a survey of 300 voice assistant users. Our results indicate that trust inHVAs can be significantly explained by functional factors (usefulness, contentcredibility, quality of service relative to a healthcare professional),together with security, and privacy risks and personal stance in technology. Wealso discuss differences in terms of trust between HVAs and general-purposevoice assistants as well as implications that are unique to HVAs.

Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use