AI Article Synopsis
- The field of psychology has traditionally relied on empirical observation and mathematical methods to understand mental functioning and behaviors.
- As technology evolves, researchers are tasked with developing new ways to measure psychological health and illness, adapting to emerging challenges.
- This review explores how remote sensor technology and machine learning are being used to assess psychological functioning, inform clinical practices, and innovate treatment approaches.
Article Abstract
Since its inception, the discipline of psychology has utilized empirical epistemology and mathematical methodologies to infer psychological functioning from direct observation. As new challenges and technological opportunities emerge, scientists are once again challenged to define measurement paradigms for psychological health and illness that solve novel problems and capitalize on new technological opportunities. In this review, we discuss the theoretical foundations of and scientific advances in remote sensor technology and machine learning models as they are applied to quantify psychological functioning, draw clinical inferences, and chart new directions in treatment.
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| http://dx.doi.org/10.1146/annurev-clinpsy-080921-073212 | DOI Listing |
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