Robot Companions and Sensors for Better Living: Defining Needs to Empower Low Socio-economic Older Adults at Home

VAGNETTI, Roberto, CAMP, Nicola, STORY, Matthew, AIT-BELAID, Khaoula, BAMFORTH, Joshua, ZECCA, Massimiliano, DI NUOVO, Alessandro, 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: Social Robotics. Lecture Notes in Computer Science (14453). Springer Nature Singapore, 373-383.

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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:	Book Section
Additional Information:	Electronic ISSN 1611-3349
Uncontrolled Keywords:	Artificial Intelligence & Image Processing; 46 Information and computing sciences
Identification Number:	https://doi.org/10.1007/978-981-99-8715-3_31
Page Range:	373-383
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	03 Jun 2024 10:49
Last Modified:	03 Jun 2024 15:11
URI:	https://shura.shu.ac.uk/id/eprint/33772

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