Conference Paper/Proceeding/Abstract 257 views 69 downloads
Older Generation: Self-Powered IoTs, Home-Life and “Ageing Well”
Nordic Conference on Human-Computer Interaction
Swansea University Authors: Gavin Bailey , Kris Seunarine, Carlos Baptista De Lima, Matt Carnie , Zaid Haymoor, Martin Hyde , Matt Jones , Jen Pearson , Thomas Reitmaier , Simon Robinson , Deepak Sahoo , Aelwyn Williams
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DOI (Published version): 10.1145/3679318.3685410
Abstract
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, trackingbehaviours for well-being, and so on. The system presented here was designed with older adults; the...
Published in: | Nordic Conference on Human-Computer Interaction |
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ISBN: | 979-8-4007-0966-1 979-8-4007-0966-1 |
Published: |
ACM
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67318 |
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Abstract: |
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, trackingbehaviours 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 climatecrisis 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. |
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Keywords: |
Older adults, Internet of Things, self-powered interactions, codesign, deployment |
College: |
Faculty of Science and Engineering |
Funders: |
This work was supported by Engineering and Physical Sciences Research Council grant EP/W025396/1. |