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Using Smartphone Sensor Data to Assess Inhibitory Control in the Wild: Longitudinal Study.

Vincent Wen-Sheng TsengJean Dos Reis CostaMalte F JungTanzeem Choudhury
Published in: JMIR mHealth and uHealth (2020)
We identified phone-based digital markers that were predictive of changes in inhibitory control and how they were positively or negatively associated with a person's inhibitory control. The results of this study corroborate the findings of previous studies, which suggest that inhibitory control can be assessed continuously and unobtrusively in the wild. We discussed some potential applications of the system and how technological interventions can be designed to help manage inhibitory control.
Keyphrases
  • physical activity
  • machine learning
  • human health