The University of Southampton
University of Southampton Institutional Repository

Robot companions and sensors for better living: defining needs to empower low socio-economic older adults at home

Robot companions and sensors for better living: defining needs to empower low socio-economic older adults at home
Robot companions and sensors for better living: defining needs to empower low socio-economic older adults at home
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.
0302-9743
373-383
Springer Singapore
Vagnetti, Roberto
769db927-be78-4c31-84c5-5ed4379c6fea
Camp, Nicola
9dcf59fe-47c4-43db-bb6a-333721427eb9
Story, Matthew
7539ce11-f6ce-4d80-b3c6-51a3024903b1
Ait-Belaid, Khaoula
7e2e669d-349c-406d-be65-839f55b1fd64
Bamforth, Joshua
5d765bcc-e73a-4ba6-ae7c-e6feaee11ee3
Zecca, Massimiliano
870c8b27-684b-42b3-baed-40dd996c2800
Nuovo, Alessandro Di
09c7ba20-f9a1-484f-ab3a-337d83737c46
Mitra, Suvo
045877bb-8ff5-46e3-9ec5-280e42e0145e
Magistro, Daniele
ab9296bc-fda6-469e-a3f8-3a574faa1b7e
Ali, Abdulaziz Al
Cabibihan, John-John
Meskin, Nader
Rossi, Silvia
Jiang, Wanyue
He, Hongsheng
Ge, Shuzhi Sam
Vagnetti, Roberto
769db927-be78-4c31-84c5-5ed4379c6fea
Camp, Nicola
9dcf59fe-47c4-43db-bb6a-333721427eb9
Story, Matthew
7539ce11-f6ce-4d80-b3c6-51a3024903b1
Ait-Belaid, Khaoula
7e2e669d-349c-406d-be65-839f55b1fd64
Bamforth, Joshua
5d765bcc-e73a-4ba6-ae7c-e6feaee11ee3
Zecca, Massimiliano
870c8b27-684b-42b3-baed-40dd996c2800
Nuovo, Alessandro Di
09c7ba20-f9a1-484f-ab3a-337d83737c46
Mitra, Suvo
045877bb-8ff5-46e3-9ec5-280e42e0145e
Magistro, Daniele
ab9296bc-fda6-469e-a3f8-3a574faa1b7e
Ali, Abdulaziz Al
Cabibihan, John-John
Meskin, Nader
Rossi, Silvia
Jiang, Wanyue
He, Hongsheng
Ge, Shuzhi Sam

Vagnetti, Roberto, Camp, Nicola, Story, Matthew, Ait-Belaid, Khaoula, Bamforth, Joshua, Zecca, Massimiliano, Nuovo, Alessandro Di, Mitra, Suvo and Magistro, Daniele (2023) Robot companions and sensors for better living: defining needs to empower low socio-economic older adults at home. In, Ali, Abdulaziz Al, Cabibihan, John-John, Meskin, Nader, Rossi, Silvia, Jiang, Wanyue, He, Hongsheng and Ge, Shuzhi Sam (eds.) Social Robotics: 15th International Conference, ICSR 2023, Doha, Qatar, December 3–7, 2023, Proceedings, Part I. (Lecture Notes in Computer Science, 14453) 1 ed. Springer Singapore, pp. 373-383. (doi:10.1007/978-981-99-8715-3_31).

Record type: Book Section

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.

Text
1841552_Magistro - Accepted Manuscript
Available under License Other.
Download (225kB)

More information

Published date: 3 December 2023

Identifiers

Local EPrints ID: 505985
URI: http://eprints.soton.ac.uk/id/eprint/505985
ISSN: 0302-9743
PURE UUID: cc006239-a63a-417f-906a-6c5ca42c2dd6
ORCID for Daniele Magistro: ORCID iD orcid.org/0000-0002-2554-3701

Catalogue record

Date deposited: 24 Oct 2025 17:05
Last modified: 05 Nov 2025 05:01

Export record

Altmetrics

Contributors

Author: Roberto Vagnetti
Author: Nicola Camp
Author: Matthew Story
Author: Khaoula Ait-Belaid
Author: Joshua Bamforth
Author: Massimiliano Zecca
Author: Alessandro Di Nuovo
Author: Suvo Mitra
Author: Daniele Magistro ORCID iD
Editor: Abdulaziz Al Ali
Editor: John-John Cabibihan
Editor: Nader Meskin
Editor: Silvia Rossi
Editor: Wanyue Jiang
Editor: Hongsheng He
Editor: Shuzhi Sam Ge

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×