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.

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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
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article

AI-Enabled Independence for Aging Populations: From Home-Based Reminder Systems to Global Assistive Technologies

Alex Mihailidis, Alyssia Sanchez
Technology Use by Older Adults
article

AI-Enabled Independence for Aging Populations: From Home-Based Reminder Systems to Global Assistive Technologies

Alex Mihailidis, Alyssia Sanchez
article en

Abstract

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.

University of Toronto (CA)
Openalex Percentile: Top 64%
Technology Use by Older Adults
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