The University of Southampton
University of Southampton Institutional Repository

Perceptions of socially assistive robots among community-dwelling older adults

Perceptions of socially assistive robots among community-dwelling older adults
Perceptions of socially assistive robots among community-dwelling older adults
Socially assistive robots (SARs) have many potential benefits for older adults, such as reducing loneliness and assisting with healthcare interventions. However, little is known about how they are perceived by older adults. This study aimed to increase this understanding by using online, semi-structured interviews with community dwelling older adults. Acceptance of SARs was higher in those aged ≥ 70 years when compared to those aged 55–69 years. Declining health status was a common influencing factor, with company and assistance with daily activities highlighted as potential advantages. However, there were concerns among those aged ≥ 70 years that the introduction of SARs may lead to increased sedentary behaviour and a reduction in physical human contact. Overall, SARs are perceived to be useful among older adults, and developers should be aware that willingness to engage with this type of technology is dependent on several factors such as age and circumstance.
540–549
Camp, Nicola
9dcf59fe-47c4-43db-bb6a-333721427eb9
Nuovo, Alessandro Di
09c7ba20-f9a1-484f-ab3a-337d83737c46
Hunter, Kirsty
91861278-241c-41ad-9aae-189d8939f695
Johnston, Julie
29d96b8a-6022-404a-b5cf-8078e817b1db
Zecca, Massimiliano
870c8b27-684b-42b3-baed-40dd996c2800
Lewis, Martin
10cee93d-c508-4cb4-9228-a741236c04e5
Magistro, Daniele
ab9296bc-fda6-469e-a3f8-3a574faa1b7e
Cavallo, Filippo
Cabibihan, John-John
Fiorini, Laura
Sorrentino, Alessandra
He, Hongsheng
Liu, Xiaorui
Matsumoto, Yoshio
Sam Ge, Shuzhi
Camp, Nicola
9dcf59fe-47c4-43db-bb6a-333721427eb9
Nuovo, Alessandro Di
09c7ba20-f9a1-484f-ab3a-337d83737c46
Hunter, Kirsty
91861278-241c-41ad-9aae-189d8939f695
Johnston, Julie
29d96b8a-6022-404a-b5cf-8078e817b1db
Zecca, Massimiliano
870c8b27-684b-42b3-baed-40dd996c2800
Lewis, Martin
10cee93d-c508-4cb4-9228-a741236c04e5
Magistro, Daniele
ab9296bc-fda6-469e-a3f8-3a574faa1b7e
Cavallo, Filippo
Cabibihan, John-John
Fiorini, Laura
Sorrentino, Alessandra
He, Hongsheng
Liu, Xiaorui
Matsumoto, Yoshio
Sam Ge, Shuzhi

Camp, Nicola, Nuovo, Alessandro Di, Hunter, Kirsty, Johnston, Julie, Zecca, Massimiliano, Lewis, Martin and Magistro, Daniele (2022) Perceptions of socially assistive robots among community-dwelling older adults. In, Cavallo, Filippo, Cabibihan, John-John, Fiorini, Laura, Sorrentino, Alessandra, He, Hongsheng, Liu, Xiaorui, Matsumoto, Yoshio and Sam Ge, Shuzhi (eds.) Social Robotics, ICSR 2022. (Lecture Notes in Computer Science (LNAI), 13818) 14th International Conference on Social Robotics (13/12/22 - 16/12/22) 540–549. (doi:10.1007/978-3-031-24670-8_48).

Record type: Book Section

Abstract

Socially assistive robots (SARs) have many potential benefits for older adults, such as reducing loneliness and assisting with healthcare interventions. However, little is known about how they are perceived by older adults. This study aimed to increase this understanding by using online, semi-structured interviews with community dwelling older adults. Acceptance of SARs was higher in those aged ≥ 70 years when compared to those aged 55–69 years. Declining health status was a common influencing factor, with company and assistance with daily activities highlighted as potential advantages. However, there were concerns among those aged ≥ 70 years that the introduction of SARs may lead to increased sedentary behaviour and a reduction in physical human contact. Overall, SARs are perceived to be useful among older adults, and developers should be aware that willingness to engage with this type of technology is dependent on several factors such as age and circumstance.

This record has no associated files available for download.

More information

Published date: 2022
Venue - Dates: 14th International Conference on Social Robotics, , Florence, Italy, 2022-12-13 - 2022-12-16

Identifiers

Local EPrints ID: 504937
URI: http://eprints.soton.ac.uk/id/eprint/504937
PURE UUID: 64c1d524-ef2a-4f63-8b5f-75eb03278676
ORCID for Daniele Magistro: ORCID iD orcid.org/0000-0002-2554-3701

Catalogue record

Date deposited: 22 Sep 2025 17:01
Last modified: 23 Sep 2025 02:22

Export record

Altmetrics

Contributors

Author: Nicola Camp
Author: Alessandro Di Nuovo
Author: Kirsty Hunter
Author: Julie Johnston
Author: Massimiliano Zecca
Author: Martin Lewis
Author: Daniele Magistro ORCID iD
Editor: Filippo Cavallo
Editor: John-John Cabibihan
Editor: Laura Fiorini
Editor: Alessandra Sorrentino
Editor: Hongsheng He
Editor: Xiaorui Liu
Editor: Yoshio Matsumoto
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.

×