Published on in Vol 8, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21703, first published .
Using Smartphone Sensor Data to Assess Inhibitory Control in the Wild: Longitudinal Study

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

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

Journals

  1. Cook D, Schmitter-Edgecombe M. Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health Scores. IEEE Access 2021;9:65033 View
  2. Brockmeyer T, Febry H, Leiteritz-Rausch A, Wünsch-Leiteritz W, Leiteritz A, Friederich H. Cognitive flexibility, central coherence, and quality of life in anorexia nervosa. Journal of Eating Disorders 2022;10(1) View
  3. Lauvsnes A, Gråwe R, Langaas M. Predicting Relapse in Substance Use: Prospective Modeling Based on Intensive Longitudinal Data on Mental Health, Cognition, and Craving. Brain Sciences 2022;12(7):957 View
  4. Lauvsnes A, Hansen T, Ankill S, Bae S, Gråwe R, Braund T, Larsen M, Langaas M. Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use Disorders in Norway: Prospective Observational Feasibility Study. JMIR Formative Research 2023;7:e45254 View
  5. Dina L, Smith T, Hauser T, Dommett E. Naturalistic assessments across the lifespan: Systematic review of inhibition measures in ecological settings. Neuroscience & Biobehavioral Reviews 2024;167:105915 View
  6. Monarca I, Cibrian F, Hurtado I, Tentori M. Smartphone Haptics Can Uncover Differences in Touch Interactions Between ASD and Neurotypicals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(4):1 View