Employing Environmental Data and Machine Learning to Improve Mobile Health Receptivity
Abstract
Behavioral intervention strategies can be enhanced by recognizing human activities using eHealth technologies. As we find after a thorough literature review, activity spotting and added insights may be used to detect daily routines inferring receptivity for mobile notifications similar to just-in-time support. Towards this end, this work develops a model, using machine learning, to analyze the motivation of digital mental health users that...
Paper Details
Title
Employing Environmental Data and Machine Learning to Improve Mobile Health Receptivity
Published Date
Jan 1, 2019
Journal
Volume
7
Pages
179823 - 179841
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