  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.
