Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

IF 17.8 1区心理学 Q1 PSYCHOLOGY Annual Review of Clinical Psychology Pub Date : 2017-05-08 Epub Date: 2017-03-17 DOI:10.1146/annurev-clinpsy-032816-044949

David C Mohr, Mi Zhang, Stephen M Schueller

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引用次数: 467

Abstract

Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital traces. Personal sensing refers to collecting and analyzing data from sensors embedded in the context of daily life with the aim of identifying human behaviors, thoughts, feelings, and traits. This article provides a critical review of personal sensing research related to mental health, focused principally on smartphones, but also including studies of wearables, social media, and computers. We provide a layered, hierarchical model for translating raw sensor data into markers of behaviors and states related to mental health. Also discussed are research methods as well as challenges, including privacy and problems of dimensionality. Although personal sensing is still in its infancy, it holds great promise as a method for conducting mental health research and as a clinical tool for monitoring at-risk populations and providing the foundation for the next generation of mobile health (or mHealth) interventions.

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个人感知:利用无处不在的传感器和机器学习了解心理健康。

日常设备中的传感器，比如我们的手机、可穿戴设备和电脑，都会留下一连串的数字痕迹。个人感知是指通过嵌入在日常生活环境中的传感器收集和分析数据，以识别人类的行为、思想、情感和特征。本文对与心理健康相关的个人传感研究进行了批判性回顾，主要集中在智能手机上，但也包括可穿戴设备、社交媒体和计算机的研究。我们提供了一个分层、分层的模型，用于将原始传感器数据转换为与心理健康相关的行为和状态的标记。还讨论了研究方法以及挑战，包括隐私和维度问题。虽然个人感知仍处于起步阶段，但它作为开展心理健康研究的一种方法，作为监测高危人群的临床工具，并为下一代移动健康(或mHealth)干预提供基础，前景广阔。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annual Review of Clinical Psychology 医学-心理学

CiteScore

31.50

自引率

0.50%

发文量

期刊介绍： The Annual Review of Clinical Psychology is a publication that has been available since 2005. It offers comprehensive reviews on significant developments in the field of clinical psychology and psychiatry. The journal covers various aspects including research, theory, and the application of psychological principles to address recognized disorders such as schizophrenia, mood, anxiety, childhood, substance use, cognitive, and personality disorders. Additionally, the articles also touch upon broader issues that cut across the field, such as diagnosis, treatment, social policy, and cross-cultural and legal issues. Recently, the current volume of this journal has transitioned from a gated access model to an open access format through the Annual Reviews' Subscribe to Open program. All articles published in this volume are now available under a Creative Commons Attribution License (CC BY), allowing for widespread distribution and use. The journal is also abstracted and indexed in various databases including Scopus, Science Citation Index Expanded, MEDLINE, EMBASE, CINAHL, PsycINFO, and Academic Search, among others.