Designing a human-centered intelligent system to monitor & explain abnormal patterns of older adults
Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2023
Abstract
Older adult care technologies are increasingly explored to support the independent living of older adults by monitoring their abnormal activities and informing caregivers to provide intervention if necessary. However, the adoption of these technologies remains challenging due to several factors (e.g. lack of usability). In this work, we present a human-centered, intelligent system for older adult care. Our proposed designs of the system were created based on the findings from a focus group session with caregivers. This system monitors the abnormal activities of an older adult using wireless motion sensors and machine learning models. In addition, unlike previous work that only notifies an outcome of activity recognition and abnormal detection models to a caregiver, the system supports interactive dialogue responses to explain the abnormal activities of an older adult to a caregiver and allow the caregiver to elicit additional information about the older adult and the older adult to proactively share his/her status with the caregiver for an adequate intervention.
Keywords
aging, caregivers, health/assistive technology, older adults, quality of life, remote monitoring
Discipline
Gerontology | Numerical Analysis and Scientific Computing | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, New York, October 23-25
First Page
1
Last Page
5
ISBN
9798400702204
Identifier
10.1145/3597638.3614501
Publisher
ACM
City or Country
New York
Citation
LEE, Min Hun; Siewiorek, Daniel P.; and Bernardino, Alexandre.
Designing a human-centered intelligent system to monitor & explain abnormal patterns of older adults. (2023). ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, New York, October 23-25. 1-5.
Available at: https://ink.library.smu.edu.sg/sis_research/8462
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3597638.3614501
Included in
Gerontology Commons, Numerical Analysis and Scientific Computing Commons, Software Engineering Commons