Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/30141
Title: | Beliefs and attitudes of citizens in the UK towards smart surveillance and privacy |
Authors: | Krlic, Marija Brockdorff, Noellie Garzia, Christine Mundle, Natalie |
Keywords: | Privacy -- Great Britain -- Case studies Electronic surveillance Privacy -- Law and legislation Records -- Access control |
Issue Date: | 2014-01 |
Publisher: | European Union |
Citation: | Krlic, M., Brockdorff, N., Garzia, C., & Mundle, N. (2014). Beliefs and attitudes of citizens in the UK towards smart surveillance and privacy. SMART, Scalable Measures for Automated Recognition Technologies (G.A. 267127). European Union. |
Abstract: | This document presents the UK results of a qualitative study undertaken as part of the SMART project – “Scalable Measures for Automated Recognition Technologies” (SMART; G.A. 261727). The analysis and results are based on a set of 3 focus group discussions comprising of 23 participants from different age groups, which were held in order to examine the awareness, understanding, beliefs and attitudes of citizens towards smart surveillance and privacy. The focus group discussions were conducted in line with a discussion guide consisting of different scenarios aimed at stimulating a discussion among participants. While some scenarios dealt with surveillance in everyday contexts likely to be encountered by the participants, other scenarios were hypothetical in nature and their aim was to elicit the participants’ feelings, beliefs and attitudes in relation to dataveillance, the massive integration of data from different sources and the “security versus privacy” trade-off. |
URI: | https://cordis.europa.eu/project/rcn/99234_en.html https://www.um.edu.mt/library/oar//handle/123456789/30141 |
Appears in Collections: | Scholarly Works - FacMKSCS |
Files in This Item:
File | Description | Size | Format | |
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Beliefs_and_attitudes_of_citizens_in_the_UK_towards_smart_surveillance_and_privacy_2014.pdf | 1.06 MB | Adobe PDF | View/Open |
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