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Data for Trust in the smart home : findings from a nationally representative survey in the UK

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Cannizzaro, Sara, Procter, Rob, Maple, Carsten and Ma, Sinong (2021) Data for Trust in the smart home : findings from a nationally representative survey in the UK. [Dataset]

Research output not available from this repository, contact author.
Official URL: https://doi.org/10.6084/m9.figshare.12068379.v2

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Abstract

Businesses in the smart home sector are actively promoting the benefits of smart home technologies for consumers, such as convenience, economy and home security. To better understand meanings of and trust in the smart home, we carried out a nationally representative survey of UK consumers designed to measure adoption and acceptability, focusing on awareness, ownership, experience, trust, satisfaction and intention to use. We analysed the results using theories of meanings and acceptability of technologies including semiotics, social construction of technology (SCOT) and sociotechnical affordance. Our findings suggest that the meaning and value proposition of the smart home have not yet achieved closure for consumers, but is already foregrounding risks to privacy and security amongst the other meaning-making possibilities it could afford. Anxiety about the likelihood of a security incident emerges as a prominent factor influencing adoption of smart home technology. This
factor negatively impacts adoption. These findings underline how businesses and policymakers will need to work together to act on the sociotechnical affordances of smart home technology in order to increase consumers’ trust. This intervention is necessary if barriers to
adoption and acceptability of the smart home are to be addressed now and in the future.

Item Type: Dataset
Subjects: H Social Sciences > HM Sociology
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Computer Science
Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Type of Data: Quantitative survey data
Library of Congress Subject Headings (LCSH): Home automation, Internet of things, Intelligent buildings, Technology -- Sociological aspects
Publisher: Department of Computer Sciences
Official Date: 8 March 2021
Dates:
DateEvent
8 March 2021Created
Status: Not Peer Reviewed
Publication Status: Published
Media of Output: .csv
Access rights to Published version: Open Access
Copyright Holders: University of Warwick
Description:

Data record consists of a raw data in csv format.
Dataset from a nationally representative sample of 2,101 participants in the United Kingdom. Participants were recruited through the online market research sample aggregator Qualtrics. The quotas for the sample were based on 2016 European statistical datasets for population by age and gender, and educational attainment level.
Age values:
<17, 18-24, 25-34, 35-49, 50-64, 65+
Gender values:
Male, Female
Education values:
ISCED 0-2 includes Pre-primary education, Primary Education and GCSE/Vocational GCSE or equivalent (incl. O-levels).
ISCED 3-4 includes A-level/Vocational A-level or equivalent (incl. AS-level), Higher Diplomas below degree level/as gateways to degree.
ISCED 5-6 includes Undergraduate degree and Postgraduate degree (Master and PhD).

Our questionnaire contained a total of 18 items relating to acceptability of Internet of Things, including eight questions which related to trust.
Questions E5, E6, E7, S16 apply to IoT experienced users only, n=1422
The rest of the questions apply to the whole sample, include both experienced and inexperienced IoT users, n=2101

RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/N02298X/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/N510129/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
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Contributors:
ContributionNameContributor ID
DepositorCannizzaro, Sara85656

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