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

被引：45

作者：

Mohr, David C. ^{[1
]}

Shilton, Katie ^{[2
]}

Hotopf, Matthew ^{[3
]}

机构：

[1] Northwestern Univ, Dept Prevent Med, Ctr Behav Intervent Technol, Chicago, IL 60611 USA

[2] Univ Maryland, Coll Informat Studies, College Pk, MD 20742 USA

[3] Kings Coll London, Inst Psychiat Psychol & Neurosci, London, England

来源：

NPJ DIGITAL MEDICINE | 2020年 / 3卷 / 01期

关键词：

INTERVENTIONS;

D O I：

10.1038/s41746-020-0251-5

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页数：2

共 50 条

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