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Network-based approaches for evaluating ambient assisted living (AAL) technologies

Gomersall, Tim, Nygård, Louise, Mihailidis, Alex, Sixsmith, Andrew, Hwang, Amy S., Hedman, Annicka and Astell, Arlene (2017) Network-based approaches for evaluating ambient assisted living (AAL) technologies. Evaluation, 23 (2). pp. 192-208. ISSN 1356-3890

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Abstract

Ambient assisted living technologies could support people experiencing physical or cognitive challenges, to maintain social identities and complex activities of daily living. Although there has been substantial investment in developing ambient assisted living innovation, less effort has been devoted to understanding how to evaluate the impact of ambient assisted living on physical and mental health. Taking a theory-based evaluation approach, we suggest firstly that ambient assisted living technologies rely on networks of people and organizations to function, and secondly, analysing the changing structure of networks can bridge the gap between socio-technological change and individual-level capabilities. We present conceptual arguments for taking a network perspective in ambient assisted living evaluations, illustrated with examples from our own group’s work on technology use among older people with cognitive impairments. We then discuss the different types of network-based evaluation approaches available, their theoretical assumptions, and the sort of research questions they could address.

Item Type: Article
Uncontrolled Keywords: active assisted living, actor-network theory, ambient assisted living, information and communication technology, realist evaluation, social network analysis, strong structuration theory, theory-based evaluation
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > H Social Sciences (General)
Schools: School of Human and Health Sciences
School of Human and Health Sciences > Centre for Applied Psychological Research
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Depositing User: Timothy Gomersall
Date Deposited: 25 May 2017 11:50
Last Modified: 25 May 2017 11:57
URI: http://eprints.hud.ac.uk/id/eprint/31987

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