| Autor: |
Koowattanataworn, P., Stolwijk, N. E., Nap, H. H., Askari, S. Ipakchian, Hofstede, B. M., Bevilacqua, R., Amabili, G., Margaritini, A., Lin, C. C., Lin, C. J., Chieh, H. F., Wong, Y. T., Su, F. C. |
| Předmět: |
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| Zdroj: |
Gerontechnology; Oct2022, Vol. 21, p2-2, 1p |
| Abstrakt: |
Purpose The world population is ageing with a decreasing workforce of care personnel, with dementia as one of the largest challenges in long-term care (Gauthier et al., 2021). Assistive technologies and services on several aspects of lifestyle could be of support because dementia impacts the daily lifestyle of people with dementia (PwD) and (in)formal caregivers. The HAAL project proposes an approach of an integrated ecosystem; a bundle of Ambient Assisted Living (AAL) products and an AI-driven dashboard. The vision of the HAAL project is to adopt Machine Learning to extract valuable information on a central dashboard. With global rapid development, user requirements for a state-of-the-art integrated ecosystem need iterative and local revisions. To achieve a feasible result, HAAL takes the Living Lab methodology (Bergvall-Kâreborn et al., 2009) as the core methodology - an approach of co-creation amongst stakeholders (i.e. researchers, PwD, informal caregivers, formal carers and technology developers). This research aims to study the end-users perceptions and opinions of an integrated-technology ecosystem. In addition, a rating and ranking study of the AAL products and technology combinations supports a careful consideration for implementation. Finally, the study sets the direction of the design of the future AI-driven dashboard. Method Three studies were conducted; user requirement investigation, HAAL technology demonstration and MoSCoW prioritisation (Kuhn, 2009). 32 PwD, 19 informal caregivers and 114 formal carers participated in the Netherlands, Italy, Taiwan and Denmark. The methods included interviews, focus groups, technological trials in demo rooms and survey research. Meaningful Tryout cards (Cornelissen & Suijkerbuijk, 2022) and working AAL products were used during the HAAL technology demonstration. The analysis techniques are thematic analysis and quantitative data exploration. User requirements were developed based on a motivational goal model (Burrows et al., 2018; Taveter et al., 2019). Results and Discussion PwD, informal caregivers and formal carers expressed the need to increase technology adoption to prolong the independent lives of PwD at home and avert the risk of health complications. In particular, formal carers recognise the potential of data utilisation. Four functional requirements for the ecosystem that emerged from the study are daily assistance, monitoring, alarm and prevention. According to end-users, the main emphasis should be on prevention (e.g., prompting actions before accidents happen and slowing dementia progression), because it could partially solve the current high workload and the shortages in the healthcare workforce. Fall detection and the GPS positioning are the best-rated features because of the concern of falling and wandering. The compulsory quality requirements of the ecosystem are usability and that the products are failure-proof. While giving back PwD autonomy was preferred in the Netherlands and Denmark, enriching the meaning of PwDs life was often addressed in Taiwan and Italy. The requirements serve as input for the iterative co-design of the AI-driven dashboard for formal carers. A potential challenge is related to change management. It is necessary to change the mindset of all end-users that digital care is care. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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