Published on in Vol 3, No 1 (2014): Jan-Mar

A Qualitative Analysis of User Experiences With a Self-Tracker for Activity, Sleep, and Diet

A Qualitative Analysis of User Experiences With a Self-Tracker for Activity, Sleep, and Diet

A Qualitative Analysis of User Experiences With a Self-Tracker for Activity, Sleep, and Diet

Authors of this article:

Jeongeun Kim 1


  1. Voskuil V, Stroup S, Leyden M. Acceptability and Usability of a Wearable Activity Tracker and Application Among Inactive Adolescent Girls. Physical Activity and Health 2020;4(1):52 View
  2. Jin D, Halvari H, Maehle N, Olafsen A. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & Information Technology 2020:1 View
  3. Almalki M, Gray K, Martin-Sanchez F. Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies. Journal of Medical Internet Research 2016;18(5):e131 View
  4. Mercer K, Giangregorio L, Schneider E, Chilana P, Li M, Grindrod K. Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation. JMIR mHealth and uHealth 2016;4(1):e7 View
  5. Almalki M, Gray K, Martin-Sanchez F. Refining the Concepts of Self-quantification Needed for Health Self-management. Methods of Information in Medicine 2017;56(01):46 View
  6. Appelboom G, LoPresti M, Reginster J, Sander Connolly E, Dumont E. The quantified patient: a patient participatory culture. Current Medical Research and Opinion 2014;30(12):2585 View
  7. Lin R, Ye Z, Wang H, Wu B. Chronic Diseases and Health Monitoring Big Data: A Survey. IEEE Reviews in Biomedical Engineering 2018;11:275 View
  8. Ewertzon M, Hanson E. Support Interventions for Family Members of Adults with Mental Illness: A Narrative Literature Review. Issues in Mental Health Nursing 2019;40(9):768 View
  9. Lentferink A, Oldenhuis H, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen J. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277 View
  10. Poyares D, Hirotsu C, Tufik S. Fitness Tracker to Assess Sleep: Beyond the Market. Sleep 2015;38(9):1351 View
  11. Régnier F, Chauvel L. Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors. JMIR mHealth and uHealth 2018;6(4):e101 View
  12. Servy H, Gossec L. La place de la e-santé et les objets connectés dans le traitement de patients atteints de polyarthrite rhumatoïde. Revue du Rhumatisme Monographies 2018;85(1):66 View
  13. Nittas V, Mütsch M, Braun J, Puhan M. Self-Monitoring App Preferences for Sun Protection: Discrete Choice Experiment Survey Analysis. Journal of Medical Internet Research 2020;22(11):e18889 View
  14. Rakotozafiarison A, Gossec L, Servy H, Rogez E, Davergne T. Numérique et activités physiques en rhumatologie. Revue du Rhumatisme Monographies 2021;88(3):237 View
  15. Feng S, Mäntymäki M, Dhir A, Salmela H. How Self-tracking and the Quantified Self Promote Health and Well-being: A Systematic Literature Review (Preprint). Journal of Medical Internet Research 2020 View

Books/Policy Documents

  1. Naveen G, Shivani M, Hasmitha J, Ajitha D. Advances in Computational and Bio-Engineering. View
  2. Držanič I, Mladenović V, Debevc M, Dolničar V, Petrovčič A, Touzery S, Kožuh I. Human Centered Computing. View