RSD11

DRAFT PROCEEDINGS

Social Design of Community Service Models with AIoT to Support Aging and Elders Well-Being -68

Qian He, Lianne Simonse, and Elisa Giaccardi

Delft University of Technology

Scoping review study

Along with the increase in average life expectancy, the world’s elderly population is expected to grow to 2.1 billion by 2050. Ageing marks a sensitive and vulnerable period of life, bringing loss of roles and functions and increased dependence on others, often reflected in a decline in quality of life. As everyone experiences ageing, the need to achieve a satisfactory old age for all in the future means that more research and a better systematic understanding of ageing and elder well-being are needed as changing demographics put growing pressure on public health and finance, and the provision of long-term care becomes increasingly inadequate.

In this study, we have systematically scoped three streams of literature, design, social studies and digital technology based on Arksey and O’Malley’s (2005) methodological framework. With this RSD presentation, we will report on our ongoing work, scoping our research on three core elements: Aging and elder well-being, Community services and AIoT (Artificial intelligence and Internet of Things).

Our preliminary review revealed a cluster of ethnographic studies on ‘ageing in place’ in which community services appeared to be of interest. Several survey studies confirm that most elders prefer to receive care from their families rather than in institutions. In a cluster with a systemic lens, community services have been studied to become an increasingly important model of long-term care a few have demonstrated that community services are more effective in supporting elders’ interests and care preferences.

Within the digital technology stream, an emerging cluster of studies proposes Artificial intelligence and the Internet of Things (AIoT) as potential solutions to the challenges associated with an ageing society. AIoT integrated into elderly care expands the range of services and supports social well-being. Experimental studies with prototyped technologies are studied in relation to outcomes of improving the self-care experience of elders at home and how AIoT facilitates the development and sharing of their unique coping strategies, thereby maintaining their vitality and independence. However, the volume of the literature shows that only a few studies have included AIoT as part of community service.

Overall, our systemic review work in progress unpacks the relevant literature into different clusters and categories, including theoretical lenses, research methods, findings and outcomes. The initial charting of the studies indicates that despite the accumulation of previous research, the current body of knowledge on the interplay of ageing and elder well-being, community services, and AIoT is underdeveloped, with unresolved issues at multiple levels of the community care model, including policy, organisation, services and individuals.

KEYWORDS: ageing, ageing, elder, elderly well-being, community, community service, care model, digital technology, ai, IoT, aIoT, systematic review, scoping review

Sketchnote by Patricia Kambitch | Playthink

Posted September 2022

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Suggested Citation Format (APA)

Author(s) (20XX). Article title. Proceedings of Relating Systems Thinking and Design (RSDX) Symposium. rsdsymposium.org/LINK.