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.

Details

Title
Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
Author
Mohr, David C 1   VIAFID ORCID Logo  ; Shilton, Katie 2 ; Hotopf, Matthew 3 

1  Northwestern University, Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Chicago, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507) 
2  University of Maryland, College Park, College of Information Studies, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
3  Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK (GRID:grid.13097.3c) (ISNI:0000 0001 2322 6764) 
Publication year
2020
Publication date
Dec 2020
Publisher
Nature Publishing Group
e-ISSN
23986352
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41746-020-0251-5
ProQuest document ID
2528863533
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.