Evidence map›Paper›PMID 42777237›Full record

ArticleJMIR formative research2026

Examining Canadian Smart Home Technology Users' Perceptions of Privacy, Risks, Safety, and Data Collection Purposes: Cross-Sectional National Survey.

Eva V Di Nallo, Charlene H Chu, Zara Hasan, Pratik K Mishra, Jacob Buchan, Tun Zheng, Andria Bianchi, Jesse Hoey, Shehroz S Khan

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Eva V Di NalloLawrence Bloomberg Faculty of Nursing, University of Toronto, 155 College St, Toronto, ON, Canada, 1 416-946-0217.ORCID 0009-0004-7219-6978
Charlene H ChuLawrence Bloomberg Faculty of Nursing, University of Toronto, 155 College St, Toronto, ON, Canada, 1 416-946-0217.ORCID 0000-0002-0333-7210
Zara HasanKITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0002-8985-2052
Pratik K MishraKITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0003-4300-9526
Jacob BuchanInstitute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.ORCID 0009-0003-6655-5076
Tun ZhengKITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0002-3594-9078
Andria BianchiKITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0003-3802-0771
Jesse HoeyDavid R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-5340-2204
Shehroz S KhanCollege of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait.ORCID 0000-0002-1195-4999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smart home technologies (SHTs) encompass internet-connected interfaces, sensors, monitors, devices, and appliances, which are networked together to allow for automation. They can facilitate tasks, such as taking medication or issuing fall alerts, and can control the home environment, such as by automating lighting. Their widespread use comes with concerns about power imbalances between users, technology companies, marketers, and state actors regarding data collection, its use and disclosure, and security issues, such as the potential for data breaches. SHT acceptance and adoption are shaped by user attitudes and trust, so understanding these factors is critical. A scoping review conducted by several authors of this paper explored user perceptions of SHTs and identified 4 key themes related to user attitudes: privacy concerns, knowledge of data collection, perceived risks and benefits, and perceived safety. Of the included studies in the review, none explored Canadian SHT users' attitudes. Thus, little is known about how Canadians perceive and understand the privacy, data collection, and safety elements of their SHTs. Given Canada's unique demographic diversity and distinct context, examining Canadian perspectives is necessary for advancing this body of research. Objective: This study explored users' perceptions of SHTs in Canada, with a focus on privacy, the purpose of data collection, risks, and safety. Methods: An online survey was distributed across Canada between March 7 and April 24, 2023, to collect self-reported demographic information and users' perceptions of SHT privacy, the purpose of data collection, risks and benefits, and safety associated with SHT use. To be eligible for this study, participants had to (1) be adults aged 18 years or older; (2) live in the community; (3) reside in Canada; (4) use at least one SHT; and (5) be comfortable communicating in English. The quantitative data were exported to SPSS (IBM Corp) and the Python programming language for descriptive analysis. Results: Self-reported survey data from a total of 881 SHT users were analyzed. Participants reported user mistrust (294/881, 33.4%), uncertainty (281/881, 31.9%), powerlessness (325/881, 36.9%), and digital resignation (232/881, 26.3%) pertaining to their SHT use. Many users displayed a willingness to trade privacy for perceived benefits, such as convenience, and some highlighted safety as a beneficial feature of SHTs. Contrary to previous internet or smart home research, most participants reported having read their SHT terms of use documents during setup. Conclusions: As the largest national survey of its kind in Canada, this study reveals a complex relationship between Canadians and SHTs, in which privacy concerns coexist with a desire for convenience and safety. These results highlight the need for greater transparency and trust-building measures in SHT design and policy. Understanding users' perceptions is essential for developing technologies and user-centered frameworks that better align with their values and expectations in Canada's diverse context.

Indexed as

Data CollectionPerceptionPrivacySafetyAdultAgedCanadaCross-Sectional StudiesDigital HealthFemaleHumansMaleMiddle AgedSurveys and Questionnairescross-sectional studyprivacypurposerisksafetysmart home technologysurveyuser perspective

Identifiers

PMID42777237
PMCPMC13600659

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.