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

Formative Evaluation of Digital Health Interventions (2412) mHealth for Wellness, Behavior Change and Prevention (2872) Innovations and Technology for Physical Activity Education (742) Fitness Trackers and Smart Pedometers/Accelerometers (561) Behavior Change (712) Quantified Self and Wellness (77)

Published on in Vol 5, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22571, first published .
A Fitness App for Monitoring Walking Behavior and Perception (Runkeeper): Mixed Methods Pilot Study

A Fitness App for Monitoring Walking Behavior and Perception (Runkeeper): Mixed Methods Pilot Study

A Fitness App for Monitoring Walking Behavior and Perception (Runkeeper): Mixed Methods Pilot Study

Authors of this article:

Justin B Hollander1 Author Orcid Image ;   Sara C Folta2 Author Orcid Image ;   Erin Michelle Graves3 Author Orcid Image ;   Jennifer D Allen4 Author Orcid Image ;   Minyu Situ5 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics

Journals

  1. Wang M, Narcisse M, Alatorre S, Kozak A, McElfish P. Neighborhood social cohesion and physical activity and obesity outcomes among Native Hawaiian and Pacific Islander individuals. Obesity 2022;30(1):249 View
  2. Jones C, Chandarana S, Vyas A, Napolitano M. Attitudes, Barriers, and Motivators Toward Daily Walking and a Mobile App to Increase Walking Among Women: Web-Based Anonymous Survey. JMIR Formative Research 2024;8:e48668 View
  3. Kant R, Sadhukhan S, Anbanandam R. Measuring heterogeneity in pedestrians’ perceived importance towards crossing facilities: An experience in Roorkee. Transportation Research Part F: Traffic Psychology and Behaviour 2024;106:257 View

Books/Policy Documents

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