2026-10-06T14:58:32Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33820489 2026-09-15T19:54:02Z portal_1197 item_type_3 month_year_09_2026

Data for Trust in the smart home : findings from a nationally representative survey in the UK Sara Cannizzaro (8911682) Rob Procter (232778) Carsten Maple (6107687) Sinong Ma (8911685) Home automation Internet of things Intelligent buildings Technology -- Sociological aspects Migrated from ePrints 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.<br><br>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 2026-09-15T19:54:02Z Dataset Dataset 10.82444/warw.33820489.v1 https://figshare.com/articles/dataset/Data_for_Trust_in_the_smart_home_findings_from_a_nationally_representative_survey_in_the_UK/33820489 CC BY 4.0