AI-Enabled Independence for Aging Populations: From Home-Based Reminder Systems to Global Assistive Technologies
This paper presents a novel home-based reminder system designed to enhance communication and support for people living with dementia and their caregivers. Leveraging machine learning and data analytics, this system aims to provide behavioral insights that tailor the care process, promoting autonomy and independence in daily living for older adults. The research emphasizes a co-collaborative, user-informed design approach, ensuring that the technology aligns with the needs and preferences of its users. Beyond the project’s scope, this study explores the landscape of assistive technologies (ATs) for older adults, discussing the potential of artificial intelligence (AI) to revolutionize healthy aging. It highlights the importance of ethical considerations, such as privacy and user autonomy, in the development of technological solutions. The objective is to advance the dialogue on employing emerging technologies to promote sustained healthy aging, with this study serving as both a model and a broader investigation into AI's potential within assistive solutions.
Authors
- Alex Mihailidis (ORCID: https://orcid.org/0000-0003-2233-0919)
- Alyssia Sanchez
Institutions
- University of Toronto (CA)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/istas61960.2024.10732816
- Primary Topic
- Technology Use by Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 0.00