This paper is in the following e-collection/theme issue:

Digital Biomarkers and Digital Phenotyping (177) New Methods (901) Evaluation and Research Methodology for mHealth (193) Use and User Demographics of mHealth (311) Problematic Internet Use, Online Gambling and Game Addiction (105)

Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12171, first published .
Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle

Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle

Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle

Authors of this article:

Yuan-Chien Pan1, 2 Author Orcid Image ;   Hsiao-Han Lin1 Author Orcid Image ;   Yu-Chuan Chiu3 Author Orcid Image ;   Sheng-Hsuan Lin4 Author Orcid Image ;   Yu-Hsuan Lin1, 5, 6, 7 Author Orcid Image
Article Authors Cited by (13) Tweetations (2) Metrics

Journals

  1. Gomis-Pastor M, Roig E, Mirabet S, T De Pourcq J, Conejo I, Feliu A, Brossa V, Lopez L, Ferrero-Gregori A, Barata A, Mangues M. A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study. JMIR mHealth and uHealth 2020;8(2):e15957 View
  2. Lin Y, Chen S, Lin P, Tai A, Pan Y, Hsieh C, Lin S. Assessing User Retention of a Mobile App: Survival Analysis. JMIR mHealth and uHealth 2020;8(11):e16309 View
  3. Chiang T, Chen S, Pan Y, Lin Y. Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development. JMIR mHealth and uHealth 2020;8(2):e16063 View
  4. Ryding F, Kuss D. Passive objective measures in the assessment of problematic smartphone use: A systematic review. Addictive Behaviors Reports 2020;11:100257 View
  5. Wilcockson T, Osborne A, Ellis D. Digital detox: The effect of smartphone abstinence on mood, anxiety, and craving. Addictive Behaviors 2019;99:106013 View
  6. Horwood S, Anglim J, Mallawaarachchi S. Problematic smartphone use in a large nationally representative sample: Age, reporting biases, and technology concerns. Computers in Human Behavior 2021;122:106848 View
  7. Parry D, Davidson B, Sewall C, Fisher J, Mieczkowski H, Quintana D. A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour 2021;5(11):1535 View
  8. Chen I, Chen Y, Liao S, Lin Y. Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis. Journal of Personalized Medicine 2022;12(6):936 View
  9. Wu Y, Lin S, Lin Y. Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps. Journal of Behavioral Addictions 2021;9(4):928 View
  10. Polar S, Varescon I. Utilisation problématique d’Instagram, orientation à la comparaison sociale, estime de soi physique et sociale : étude exploratoire. Psychologie Française 2023;68(4):481 View
  11. Lin C, Chen I, Chuang H, Wang Z, Lin H, Lin Y. Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e48044 View
  12. Tkaczyk M, Tancoš M, Smahel D, Elavsky S, Plhák J. (In)accuracy and convergent validity of daily end-of-day and single-time self-reported estimations of smartphone use among adolescents. Computers in Human Behavior 2024;158:108281 View
  13. Chen H, Lin C, Chang H, Chang J, Chuang H, Lin Y. Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities. Journal of Medical Internet Research 2024;26:e56144 View