Technical requirements of age-friendly smart home technologies in high-rise residential buildings: A system intelligence analytical approach

Wong, Johnny Kwok Wai, Leung, Jodith, Skitmore, Martin, & Buys, Laurie (2017) Technical requirements of age-friendly smart home technologies in high-rise residential buildings: A system intelligence analytical approach. Automation in Construction, 73, pp. 12-19.

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Abstract

Smart home technology (SHT) has been identified as a promising means of helping seniors to remain independent and maintain their quality of life (QoL) while containing spiralling care costs for older people. Despite official pilot schemes in many countries to promote SHT in seniors housing, there is limited understanding of the forms that such SHT interventions should take. This study builds on the analytical model of intelligent building control systems developed by the author; the aim is to provide a systematic approach to understanding the key intelligent attributes of smart-home devices. A qualitative participatory evaluation approach involving focus groups was adopted to investigate the needs of seniors and their SHT preferences. Fourteen features of the SHT technical requirements of four key intelligent attribute types were identified. This study’s insights will help to shape the way SHT is designed and used.

Impact and interest:

1 citations in Scopus
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ID Code: 101767
Item Type: Journal Article
Refereed: Yes
Keywords: smart home technology, technical requirements, intelligent attributes, seniors, ageing in place
DOI: 10.1016/j.autcon.2016.10.007
ISSN: 0926-5805
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > Schools > School of Design
Current > QUT Faculties and Divisions > Creative Industries Faculty
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
  • POLYU/G-YBCE
Copyright Owner: © 2016 Elsevier B.V.
Deposited On: 21 Nov 2016 00:41
Last Modified: 14 Dec 2016 17:13

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