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

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 adop...

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Detalles Bibliográficos
Autores principales: Mohr, David C., Shilton, Katie, Hotopf, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096455/
https://www.ncbi.nlm.nih.gov/pubmed/32219186
http://dx.doi.org/10.1038/s41746-020-0251-5
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author Mohr, David C.
Shilton, Katie
Hotopf, Matthew
author_facet Mohr, David C.
Shilton, Katie
Hotopf, Matthew
author_sort Mohr, David C.
collection PubMed
description 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.
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spelling pubmed-70964552020-03-26 Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age Mohr, David C. Shilton, Katie Hotopf, Matthew NPJ Digit Med Comment 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. Nature Publishing Group UK 2020-03-25 /pmc/articles/PMC7096455/ /pubmed/32219186 http://dx.doi.org/10.1038/s41746-020-0251-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Comment
Mohr, David C.
Shilton, Katie
Hotopf, Matthew
Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_full Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_fullStr Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_full_unstemmed Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_short Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_sort digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096455/
https://www.ncbi.nlm.nih.gov/pubmed/32219186
http://dx.doi.org/10.1038/s41746-020-0251-5
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