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A review of contemporary work on the ethics of ambient assisted living technologies for people with dementia

Novitzky, Peter, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, Chen, Cynthia, Irving, Kate orcid logoORCID: 0000-0002-9255-4574, Jacquemard, Tim, Ó Brolcháin, Fiachra orcid logoORCID: 0000-0001-5290-8772, O'Mathúna, Dónal orcid logoORCID: 0000-0001-5331-3340 and Gordijn, Bert (2014) A review of contemporary work on the ethics of ambient assisted living technologies for people with dementia. Science and Engineering Ethics . ISSN 1353-3452

Abstract
Ambient assisted living (AAL) technologies can provide assistance and support to persons with dementia. They might allow them the possibility of living at home for longer whilst maintaining their comfort and security as well as offering a way towards reducing the huge economic and personal costs forecast as the incidence of dementia increases worldwide over coming decades. However, the development, introduction and use of AAL technologies also trigger serious ethical issues. This paper is a systematic literature review of the on-going scholarly debate about these issues. More specifically, we look at the ethical issues involved in research and development (R&D), clinical experimentation, and clinical application of AAL technologies for people with dementia and related stakeholders. In the discussion we focus on: 1) the value of the goals of AAL technologies, 2) the special vulnerability of persons with dementia in their private homes, 3) the complex question of informed consent for the usage of AAL technologies.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:dementia, ethics, ambient assisted living, ambient intelligence, ambient technology, informed consent
Subjects:Computer Science > Lifelog
Medical Sciences > Nursing
Medical Sciences > Geriatric nursing
Medical Sciences > Medical ethics
Computer Science > Artificial intelligence
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Springer
Official URL:http://dx.doi.org/10.1007/s11948-014-9552-x
Copyright Information:© 2014 Springer-Verlag The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:This research has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement 288199 – Dem@Care
ID Code:19933
Deposited On:09 Jul 2014 12:48 by petern2 Peter Novitzky . Last Modified 31 Oct 2018 12:32
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