Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38963, first published .
Assessment of the Popularity and Perceived Effectiveness of Smartphone Tools That Track and Limit Smartphone Use: Survey Study and Machine Learning Analysis

Assessment of the Popularity and Perceived Effectiveness of Smartphone Tools That Track and Limit Smartphone Use: Survey Study and Machine Learning Analysis

Assessment of the Popularity and Perceived Effectiveness of Smartphone Tools That Track and Limit Smartphone Use: Survey Study and Machine Learning Analysis

Elias Aboujaoude   1 , MD ;   Germano Vera Cruz   2 , PhD ;   Lucien Rochat   3 , PhD ;   Robert Courtois   4 , MD, PhD ;   Farah Ben Brahim   4 , MSc ;   Riaz Khan   5 , Prof Dr ;   Yasser Khazaal   6 , MD

1 Stanford University School of Medicine, Department of Psychiatry and Behavioral Sciences, Stanford, CA, United States

2 Department of Psychology, University of Picardie Jules Verne, Amiens, France

3 Addiction Division, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland

4 Department of Psychology, Tours University, Tours, France

5 Addiction Psychiatry, Foederatio Medicorum Helveticorum, Geneva, Switzerland

6 Lausanne University, Lausanne, Switzerland

Corresponding Author:

  • Elias Aboujaoude, MD
  • Stanford University School of Medicine
  • Department of Psychiatry and Behavioral Sciences
  • 401 Quarry Rd
  • Stanford, CA, 94305
  • United States
  • Phone: 1 650 498 9111
  • Email: eaboujaoude@stanford.edu