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

Formative Evaluation of Digital Health Interventions (2491) Innovations and Technology for Physical Activity Education (756) Fitness Trackers and Smart Pedometers/Accelerometers (571) mHealth for Wellness, Behavior Change and Prevention (2922) Behavior Change (723)

Published on in Vol 5, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15369, first published .
A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study

A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study

A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study

Authors of this article:

Yunlong Wang1 Author Orcid Image ;   Laura M. König2 Author Orcid Image ;   Harald Reiterer1 Author Orcid Image
Article Authors Cited by (11) Tweetations (8) Metrics

Journals

  1. Bonnet C, Barela J. Health Issues Due to the Global Prevalence of Sedentariness and Recommendations towards Achieving a Healthier Behaviour. Healthcare 2021;9(8):995 View
  2. Fellendorf F, Hamm C, Platzer M, Lenger M, Dalkner N, Bengesser S, Birner A, Queissner R, Sattler M, Pilz R, Kapfhammer H, Lackner H, van Poppel M, Reininghaus E. Notwendigkeit für Symptom-Monitoring und Frühwarnzeichenerkennung bipolarer Episoden durch eine App? – Ansichten von PatientInnen und Angehörigen zu e-health Bedarf. Fortschritte der Neurologie · Psychiatrie 2022;90(06):268 View
  3. Mugler N, Baurecht H, Lam K, Leitzmann M, Jochem C. The Effectiveness of Interventions to Reduce Sedentary Time in Different Target Groups and Settings in Germany: Systematic Review, Meta-Analysis and Recommendations on Interventions. International Journal of Environmental Research and Public Health 2022;19(16):10178 View
  4. Steel C, Crist K, Grimes A, Bejarano C, Ortega A, Hibbing P, Schipperijn J, Carlson J. Validity of a Global Positioning System-Based Algorithm and Consumer Wearables for Classifying Active Trips in Children and Adults. Journal for the Measurement of Physical Behaviour 2021;4(4):321 View
  5. Jiang G, Zhu J, Li Y, An P, Wang Y. NaMemo2: Facilitating Teacher-Student Interaction with Theory-Based Design and Student Autonomy Consideration. Education and Information Technologies 2024;29(6):7259 View
  6. Yfantidou S, Sermpezis P, Vakali A. 14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF Framework. ACM Transactions on Computing for Healthcare 2023;4(3):1 View
  7. Krukowski R, Denton A, König L. Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  8. Chan G, Nwagu C, Odenigbo I, Alslaity A, Orji R. The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices. International Journal of Human–Computer Interaction 2024:1 View
  9. Krzywicka P, Kulis E, Szczuka Z, Siwa M, Banik A, Wietrzykowska D, Kornafel A, Zaleskiewicz H, Misiakowska J, Boberska M, Knoll N, Radtke T, Luszczynska A. Adding planning strategies to an experiential and conceptual knowledge-based intervention: Does it help to reduce sedentary time?. Psychology of Sport and Exercise 2025;77:102782 View

Books/Policy Documents

  1. Ulmer T, Baldauf M. Human-Computer Interaction. User Experience and Behavior. View