New Measures of Mental State and Behavior Based on Data Collected From Sensors, Smartphones, and the Internet
New Measures of Mental State and Behavior Based on Data Collected From Sensors, Smartphones, and the Internet
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DOI：
10.1007/s11920-014-0523-3
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发表时间：
2014-12-01
影响因子：
6.7
通讯作者：
Monteith, Scott
中科院分区：
文献类型：
--
作者：
Glenn, Tasha;Monteith, Scott
随着新技术的迅速普及，算法将被用于评估基于数字数据的精神状态和行为的新措施。该算法将分析从智能手机和可穿戴技术的传感器收集的数据，以及从互联网和智能手机使用和活动中收集的数据。在未来，新的医疗措施，协助筛选，诊断和监测精神疾病将是可用的，尽管尚未解决的可靠性，可用性和隐私问题。与此同时，正在开发类似的精神状态非医疗商业措施，主要用于有针对性的广告。将这些精神状态和行为测量方法用于医疗和非医疗目的，涉及社会和伦理问题。
With the rapid and ubiquitous acceptance of new technologies, algorithms will be used to estimate new measures of mental state and behavior based on digital data. The algorithms will analyze data collected from sensors in smartphones and wearable technology, and data collected from Internet and smartphone usage and activities. In the future, new medical measures that assist with the screening, diagnosis, and monitoring of psychiatric disorders will be available despite unresolved reliability, usability, and privacy issues. At the same time, similar non-medical commercial measures of mental state are being developed primarily for targeted advertising. There are societal and ethical implications related to the use of these measures of mental state and behavior for both medical and non-medical purposes.