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Learning to live in a smart home

Bibliographic Data

ID23318239
AuthorsTom Hargreaves (0000-0002-3764-7364, University of East Anglia, corresponding author), Charlie Wilson (0000-0001-8164-3566, University of East Anglia), Richard Hauxwell‐Baldwin (University of East Anglia), Richard Hauxwell-Baldwin (University of East Anglia)
Year2018
Volume46
Issue1
Pages127-139
Publication date2018-01-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBuilding Research & Information (JOURNAL)
Journal identifiersISSN: 0961-3218 • E-ISSN: 1466-4321
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09613218.2017.1286882
OpenAlexW2589241115
LanguageEN
Citations received79
References cited29

Smart homes promise to significantly enhance domestic comfort, convenience, security and leisure whilst simultaneously reducing energy use through optimized home energy management. Their ability to achieve these multiple aims rests fundamentally on how they are used by householders, yet very little is currently known about this topic. The few studies that have explored the use of smart homes have tended to focus on special-interest groups and be quite short-term. This paper reports on new in-depth qualitative data that explore the domestication of a range of smart home technologies in 10 households participating in a nine-month field trial. Four core themes emerge: (1) smart home technologies are both technically and socially disruptive; (2) smart homes require forms of adaptation and familiarization from householders that can limit their use; (3) learning to use smart home technologies is a demanding and time-consuming task for which there is currently very little support available; and (4) there is little evidence that smart home technologies will generate substantial energy savings and, indeed, there is a risk that they may generate forms of energy intensification. The paper concludes by discussing the implications of these findings for policy, design and further research.

Adaptation (eye) · Architectural engineering · Business · Home automation · Internet privacy · Telecommunications · Computer Science · Context-Aware Activity Recognition Systems · Engineering · Green IT and Sustainability · Marketing · Psychology · Smart Cities and Technologies

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Unique citing works79
Citations per year8,78
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 70
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