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

Rasmus Birk, Anna Lavis, Federica Lucivero, Gabrielle Samuel

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Abstract

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.
Original languageEnglish
Article number205395172110473
Number of pages5
JournalBig Data & Society
Volume8
Issue number2
DOIs
Publication statusPublished - 1 Jul 2021

Keywords

  • Digital phenotyping
  • mental health
  • digital mental health
  • big data
  • ethics
  • hype

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