Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age

David C. Mohr*, Katie Shilton, Matthew Hotopf

*Corresponding author for this work

Research output: Contribution to journalComment/debatepeer-review

13 Scopus citations

Abstract

Data from networked sensors, such as those in our phones, are increasingly being explored and used to identify behaviors related to health and mental health. While computer scientists have referred to this field as context sensing, personal sensing, or mobile sensing, medicine has more recently adopted the term digital phenotyping. This paper discusses the implications of these labels in light of privacy concerns, arguing language that is transparent and meaningful to the people whose data we are acquiring.

Original languageEnglish (US)
Article number45
Journalnpj Digital Medicine
Volume3
Issue number1
DOIs
StatePublished - Dec 1 2020

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Computer Science Applications
  • Health Informatics
  • Health Information Management

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