Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study
Christopher Slade,
Roberto M Benzo,
Peter Washington
Abstract:Background
Machine learning models often use passively recorded sensor data streams as inputs to train machine learning models that predict outcomes captured through ecological momentary assessments (EMA). Despite the growth of mobile data collection, challenges in obtaining proper authorization to send notifications, receive background events, and perform background tasks persist.
Objective
We investigated challenges faced by mobile sensing apps in rea… Show more
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