Vagnetti, R. ORCID: 0000-0001-5192-1756, Camp, N. ORCID: 0000-0003-0972-9722, Story, M., Ait-Belaid, K., Bamforth, J., Zecca, M., Di Nuovo, A., Mitra, S. ORCID: 0000-0001-7620-4809 and Magistro, D. ORCID: 0000-0002-2554-3701, 2023. Robot companions and sensors for better living: defining needs to empower low socio-economic older adults at home. In: A. Al Ali, J.-J. Cabibihan, N. Meskin, S. Rossi, W. Jiang, H. He and S.S. Ge, eds., Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3–7, 2023, Proceedings, Part I. Lecture notes in computer science (14453). Singapore: Springer Singapore, pp. 373-383. ISBN 9789819987146
Text
1841552_Magistro.pdf - Accepted version Full-text access embargoed until 3 December 2024. Download (225kB) |
Abstract
Population ageing has profound implications for economies and societies, demanding increased health and social services. The global older adult population is steadily growing, presenting challenges. Addressing this reality, investing in older adults’ healthcare means enhancing their well-being while minimizing expenditures. Strategies aim to support older adults at home, but resource disparities pose challenges. Importantly, socio-economic factors influence peoples’ quality of life and wellbeing, thus they are associated with specific needs. Socially Assistive Robots (SARs) and monitoring technologies (wearable and environmental sensors) hold promise in aiding daily life, with older adults showing willingness to embrace them, particularly if tailored to their needs. Despite research on perceptions of technology, the preferences and needs of socio-economically disadvantaged older adults remain underexplored. This study investigates how SARs and sensor technologies can aid low-income older adults, promoting independence and overall well-being. For this purpose, older adults (aged ≥ 65 years) with low income were recruited, and a series of focus groups were conducted to comprehend how these technologies could address their needs. Thematic analysis results highlighted five key dimensions, specifically: 1) promote and monitor an active lifestyle, 2) help with daily errands and provide physical assistance, 3) reduce isolation and loneliness, 4) considerations regarding monitoring technologies, and 5) barriers affecting SARs and monitoring technologies usage and acceptance. These dimensions should be considered during SARs and sensors design to effectively meet users’ requirements, enhance their quality of life, and support caregivers.
Item Type: | Chapter in book | ||||||
---|---|---|---|---|---|---|---|
Creators: | Vagnetti, R., Camp, N., Story, M., Ait-Belaid, K., Bamforth, J., Zecca, M., Di Nuovo, A., Mitra, S. and Magistro, D. | ||||||
Publisher: | Springer Singapore | ||||||
Place of Publication: | Singapore | ||||||
Date: | 2023 | ||||||
Number: | 14453 | ||||||
ISBN: | 9789819987146 | ||||||
Identifiers: |
|
||||||
Divisions: | Schools > School of Science and Technology Schools > School of Social Sciences |
||||||
Record created by: | Jonathan Gallacher | ||||||
Date Added: | 05 Dec 2023 13:24 | ||||||
Last Modified: | 05 Dec 2023 13:26 | ||||||
URI: | https://irep.ntu.ac.uk/id/eprint/50487 |
Actions (login required)
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year