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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]
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Official URL: https://doi.org/10.6084/m9.figshare.12068379.v2
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 | |||||||||
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| 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 |
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| Divisions: | Faculty of Science > Computer Science Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) |
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| 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 | |||||||||
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| 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. Our questionnaire contained a total of 18 items relating to acceptability of Internet of Things, including eight questions which related to trust. |
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