JMIR Publications

ABSTRACT

Background:

Population aging affects society, with a profound impact on daily activities for those with low socio-economic backgrounds and motor impairments. Social Assistive Robots (SARs) and monitoring technologies can improve older adults' well-being by assisting with and monitoring home activities.

Objective:

This study explores the opinions and needs of older adults, including those with motor difficulties and lower socio-economic backgrounds, regarding SARs and monitoring technologies at home to promote daily physical activities and reduce sedentary behaviours.

Methods:

Using a mixed-method approach with 31 older adults from three groups: low socio-economic backgrounds, those with motor difficulties, and healthy individuals. Focus groups were conducted and analysed using thematic analysis. Perceived mental and physical well-being were assessed using the 12-Item Short Form Health Survey, and attitudes toward robots were evaluated using the Multi-dimensional Robot Attitude Scale.

Results:

The results identified 14 themes in four key areas: 1) technology use for supporting daily activities and reducing sedentary behaviours, 2) perceived barriers, 3) suggestions and preferences, and 4) actual home technology usage. Participants perceived physical and mental well-being were associated with dimensions involved in human-robot interactions. Notably, older adults from low socioeconomic backgrounds perceived less control over SARs, while older adults with motor difficulties expressed higher perceived utility compared to other groups, as well as higher familiarity and interest compared to the low socioeconomic group.

Conclusions:

Participants indicated that SARs and monitoring technology could help reduce sedentary behaviours by assisting in the management of daily activities. The results are discussed in the context of these outcomes and the implementation of SARs and monitoring technologies at home. The study highlights the importance of considering the functional and socio-economic characteristics of older adults as future users of SARs and monitoring technology to promote widespread adoption and improve well-being within this population.