Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study

Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study

BackgroundAs mobile health (mHealth) studies become increasingly productive owing to the advancements in wearable and mobile sensor technology, our ability to monitor and model human behavior will be constrained by participant receptivity. Many health constructs are dependent...

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Bibliographic Details
Main Authors: Zachary D King, Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano
Format: Article
Language:English
Published: JMIR Publications 2024-02-01
Series:JMIR mHealth and uHealth
Online Access:https://mhealth.jmir.org/2024/1/e46347

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