Karen P. Valdivia
Voice Familiarity in a Voice-Reminders App for Elderly Care Recipients and Their Family Caregivers
Valdivia, Karen P.; Li, Jamy
Abstract
This work focuses on the effect of voice familiarity in voice reminders between elders and their caregivers. A voice application (for desktops and smartphones) was created to study these effects. Seniors, and their family care providers along with medical providers were consulted for voice application design and improvement opportunities using two user tests with 17 care dyads and 15 medical care providers. Results from qualitative content analysis show that care dyads generally prefer familiar voice reminders for routine tasks (such as taking medication) and generally find caregiver-voiced reminders to be acceptable, while medical care providers have mixed opinions about older adults using recorded reminders.
Citation
Valdivia, K. P., & Li, J. (online). Voice Familiarity in a Voice-Reminders App for Elderly Care Recipients and Their Family Caregivers. IEEE Transactions on Human-Machine Systems, https://doi.org/10.1109/thms.2025.3582259
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 17, 2025 |
Online Publication Date | Jul 14, 2025 |
Deposit Date | Jul 29, 2025 |
Journal | IEEE Transactions on Human-Machine Systems |
Electronic ISSN | 2168-2291 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1109/thms.2025.3582259 |
Keywords | Caregiving of elders, voice familiarity, voice response systems |
You might also like
Public opinion on types of voice systems for older adults
(2024)
Journal Article
Resolving Facility Layout Issues in an Ontario Bakery Using CRAFT with Numerous Departments and Probabilistic Rack Movement
(2024)
Presentation / Conference Contribution
The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence
(2023)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search