JOM KITA KE POLITEKNIK

Understanding 'passivity' in digital health through imaginaries and experiences of coronavirus disease 2019 contact tracing apps (Record no. 2404)

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Personal name Costa, Alessia
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Title Understanding 'passivity' in digital health through imaginaries and experiences of coronavirus disease 2019 contact tracing apps
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Date of publication, distribution, etc. 2022-01.
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General note /pmc/articles/PMC7614187/
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General note /pubmed/36819735
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Summary, etc. Growing interest is being directed to the health applications of so-called 'passive data' collected through wearables and sensors without active input by users. High promises are attached to passive data and their potential to unlock new insights into health and illness, but as researchers and commentators have noted, this mode of data gathering also raises fundamental questions regarding the subject's agency, autonomy and privacy. To explore how these tensions are negotiated in practice, we present and discuss findings from an interview study with 30 members of the public in the UK and Italy, which examined their views and experiences of the coronavirus disease 2019 contact tracing apps as a large-scale, high-impact example of digital health technology using passive data. We argue that, contrary to what the phrasing 'passive data' suggests, passivity is not a quality of specific modes of data collection but is contingent on the very practices that the technology is supposed to unobtrusively capture.
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Terms governing use and reproduction
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Terms governing use and reproduction https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
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Terms governing use and reproduction https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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Personal name Milne, Richard
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Note Big Data Soc
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Uniform Resource Identifier <a href="http://dx.doi.org/10.1177/20539517221091138">http://dx.doi.org/10.1177/20539517221091138</a>
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