@article{3669b57492d24ca9beaf9a036e17a25b,
title = "The digital harms of smart home devices: A systematic literature review",
keywords = "Cybercrime, Hacking, Internet of things, Privacy, Security, Smart readers",
author = "David Buil-Gil and Steven Kemp and Stefanie Kuenzel and Lynne Coventry and Sameh Zakhary and Daniel Tilley and James Nicholson",
note = "Funding Information: This work, as part of the PrivIoT project, has been supported by the PETRAS National Centre of Excellence for IoT Systems Cybersecurity , which has been funded by the UK EPSRC under grant number EP/S035362/1 . Funding Information: While selected studies included researchers from across 23 countries, 1 1 three countries were represented in the majority of studies: USA (25, 39.7%), China (12, 19.0%) and UK (9, 14.3%), as shown in Fig. 3 (a). 13 studies involved authors from across multiple countries. Similarly, as shown in Fig. 3 (b), amongst those studies that acknowledge a source of funding (43 out of 63), the main countries (or group of countries) that provide funding for research are USA (17, 39.5%), China (11, 25.6%), European Union (4, 9.3%) and UK (3, 7.0%). The most frequently mentioned funding entities were the USA National Science Foundation (10, 23.3%), Chinese National Natural Science Foundation (5, 11.6%), Chinese National Key Research and Development Program (4, 9.3%), and UK Engineering and Physical Sciences Research Council (3, 7.0%). 24 studies mentioned more than one funding source, and 7 of them obtained funding from more than one country. Aside from national research councils, some studies also acknowledged receiving internal funding from universities, and in some cases from private organisations such as Ericsson, Intel and Schneider. We also recorded information about the places where data were originally recorded, noticing that most of them recorded data in USA (21), UK (9), China (7) and Australia (5). One study analysed data recorded in 5 different countries [28]. Publisher Copyright: {\textcopyright} 2023 The Authors",
year = "2023",
month = aug,
doi = "10.1016/j.chb.2023.107770",
language = "English",
volume = "145",
journal = "Computers in Human Behavior",
issn = "0747-5632",
publisher = "Elsevier Limited",
}
