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Loss-Framed Adaptive Microcontingency Management for Preventing Prolonged Sedentariness: Development and Feasibility Study.

Woohyeok ChoiUichin Lee
Published in: JMIR mHealth and uHealth (2023)
Although our L-AMCM did not significantly affect users' mission success rate, this study configures a pioneering work toward adaptively estimating incentives by considering user behaviors and contexts through leveraging mobile sensing and machine learning. We hope that this study inspires researchers to develop incentive-based interventions.
Keyphrases
  • machine learning
  • physical activity
  • human immunodeficiency virus
  • deep learning