Export Citation
Export Citation
Zhan, X, Abdi, N, Seymour, W and Such, J (2024) Healthcare voice AI assistants: factors influencing trust and intention to use. In: Proceedings of the ACM on Human-Computer Interaction , 8. pp. 1-37. (ACM on Human-Computer Interaction, 9th -13th Nov 2024, San José, Costa Rica).
Preview |
Text
Healthcare Voice AI Assistants Factors Influencing Trust and.pdf - Accepted Version Download (946kB) | Preview |
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | © The Authors 2024. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in http://doi.org/10.1145/3637339 |
| Uncontrolled Keywords: | 4608 Human-centred computing; 5205 Social and personality psychology |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine T Technology > T Technology (General) |
| Divisions: | Computer Science and Mathematics |
| Publisher: | Association for Computing Machinery (ACM) |
| Related URLs: | |
| Date of acceptance: | 12 March 2024 |
| Date of first compliant Open Access: | 12 September 2025 |
| Date Deposited: | 12 Sep 2025 11:09 |
| Last Modified: | 12 Sep 2025 13:35 |
| DOI or ID number: | 10.1145/3637339 |
| Editors: | Such, J |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/27078 |
 |
View Item |