Older Generation: Self-Powered IoTs, Home-Life and “Ageing Well”
Internet of Things (IoT) technology is found in many homes. These systems enable tasks to be done more effectively or efficiently – e.g., securing property, monitoring and adjusting resources, tracking behaviours for well-being, and so on. The system presented here was designed with older adults; the vast majority of home IoT systems marketed to this age group are not growth-oriented but rather decline-focused, monitoring and signalling well-being issues. In contrast to both “mainstream” and “older adult” IoT frameworks, then, we present a toolkit designed only to platform reflections, conversations and insights by occupants and visitors in regards to diverse user-defined meaningful home activities: hobbies, socialisation, fun, relaxation, and so on. Furthermore, mindful of the climate crisis and the battery recharge or replacement requirements in conventional IoT systems, the toolkit is predominantly self-powered. We detail the design process and home deployments, highlighting the value of alternative data presentations from the simplest to LLM-enabled.
Authors
- Gavin Bailey (ORCID: https://orcid.org/0000-0002-9445-9626)
- Thomas Reitmaier (ORCID: https://orcid.org/0000-0003-2078-6699)
- Simon Robinson (ORCID: https://orcid.org/0000-0001-9228-006X)
- Jennifer Pearson (ORCID: https://orcid.org/0000-0002-1960-1012)
- K. Seunarine (ORCID: https://orcid.org/0000-0001-8647-1345)
- Aelwyn Williams
- Matthew J. Carnie (ORCID: https://orcid.org/0000-0002-4232-1967)
- Martin Hyde (ORCID: https://orcid.org/0000-0002-9955-8121)
- Zaid Haymoor (ORCID: https://orcid.org/0000-0001-6606-307X)
- Deepak Ranjan Sahoo (ORCID: https://orcid.org/0000-0002-4421-7549)
- Matt Jones (ORCID: https://orcid.org/0000-0001-7657-7373)
- Carlos Valter Baptista De Lima (ORCID: https://orcid.org/0000-0003-1518-364X)
- Benedict H Jones
Institutions
- University of Leicester (GB)
- Durham University (GB)
- Swansea University (GB)
Publication Details
- Journal
- Nordic Conference on Human-Computer Interaction
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1145/3679318.3685410
- Primary Topic
- Technology Use by Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Engineering and Physical Sciences Research Council