Ambient assisted living systems and technologies: a data and information quality perspective

McNaull, James, Augusto, Juan Carlos, Mulvenna, Maurice and McCullagh, Paul (2012) Ambient assisted living systems and technologies: a data and information quality perspective. ACM Transactions on Data and Information Quality, 4 (1). pp. 1-15. ISSN 1936-1955

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Abstract

Demographic ageing, as a result of people living for longer, has put an increased burden on health and social care provision across most of the economies of the developed and developing world. In order to cope with the greater numbers of older people, together with increasing prevalence of chronic diseases, governments are looking to new ways to provide care and support to older people and their carers. A growing trend is where health and social care providers are moving towards the use of assisted living technologies to provide care and assistance in the home. In this paper, the research area of Ambient Assisted Living (AAL) systems is examined and the data, information and the higher-level contextual knowledge quality issues in relation to these systems is discussed. Lack of quality control may result in an AAL system providing assistance and support based upon incorrect data, information and knowledge inputs and this may have a detrimental effect on the person making use of the system. We propose a model whereby contextual knowledge gained during the AAL system‟s reasoning cycle can be fed back to aid in further quality checking at the various architectural layers and a realistic AAL scenario is provided to support this. Future research should be conducted in these areas, with the requirement of building quality criteria into the design and implementation of AAL systems.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 9974
Useful Links:
Depositing User: Dr. Juan C. Augusto
Date Deposited: 03 Apr 2013 12:12
Last Modified: 13 Oct 2016 14:26
URI: https://eprints.mdx.ac.uk/id/eprint/9974

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