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For what it's worth. Unearthing the values embedded in digital phenotyping for mental health

Bibliographic Data

ID5260447
AuthorsRasmus Birk (0000-0003-3740-4765, Aalborg University, corresponding author), Anna Lavis (0000-0002-1080-2512, University of Birmingham), Federica Lucivero (0000-0002-1308-5846, University of Oxford), Gabrielle Samuel (0000-0001-8111-2730, King's College London)
Year2021
Volume8
Issue2
Publication date2021-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBig Data & Society (JOURNAL)
Journal identifiersISSN: 2053-9517 • E-ISSN: 2053-9517
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/20539517211047319
OpenAlexW3200776371
LanguageEN
Citations received8
References cited21

Digital phenotyping for mental health is an emerging trend which uses digital data, derived from mobile applications, wearable technologies and digital sensors, to measure, track and predict the mental health of an individual. Digital phenotyping for mental health is a growing, but as yet underexamined, field. As we will show, the rapid growth of digital phenotyping for mental health raises crucial questions about the values that underpin and are reinforced by this technology, as well as regarding to whom it may become valuable. In this commentary, we explore these questions by focusing on the construction of value across two interrelated domains: user experience and epistemologies on the one hand, and issues of data and ownership on the other. In doing so, we demonstrate the need for a deeper ethical and epistemological engagement with the value assumptions that underpin the promise of digital phenotyping for mental health

Big data · Data mining · Data science · Digital health · Engineering ethics · Health care · Internet privacy · Mental health · Political science · Psychiatry · Sociology · Wearable computer · Wearable technology · Computer Science · Digital Mental Health Interventions · Engineering · Mental Health and Patient Involvement · Mental Health Research Topics · Psychology

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Unique citing works8
Citations per year2
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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