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

Theories, Models, and Frameworks in Human Factors (63) New Methods (911) Theoretical Frameworks and Concepts (232) Use and User Demographics of mHealth (313) User Needs and Competencies (274) Mobile Health (mhealth) (2777) Web-based and Mobile Health Interventions (3128) Human Factors and Usability Case Studies (748) User-centred Design Case Studies (564)

Published on in Vol 9, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30474, first published .
Using Health Concept Surveying to Elicit Usable Evidence: Case Studies of a Novel Evaluation Methodology

Using Health Concept Surveying to Elicit Usable Evidence: Case Studies of a Novel Evaluation Methodology

Using Health Concept Surveying to Elicit Usable Evidence: Case Studies of a Novel Evaluation Methodology

Authors of this article:

Alex Mariakakis1 Author Orcid Image ;   Ravi Karkar2 Author Orcid Image ;   Shwetak N Patel2 Author Orcid Image ;   Julie A Kientz3 Author Orcid Image ;   James Fogarty2 Author Orcid Image ;   Sean A Munson3 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Alex Mariakakis   1 , PhD ;   Ravi Karkar   2 , PhD ;   Shwetak N Patel   2 , PhD ;   Julie A Kientz   3 , PhD ;   James Fogarty   2 , PhD ;   Sean A Munson   3 , PhD

1 Department of Computer Science, University of Toronto, Toronto, ON, Canada

2 School of Computer Science & Engineering, University of Washington, Seattle, WA, United States

3 Department of Human Centered Design & Engineering, University of Washington, Seattle, WA, United States

Corresponding Author:

  • Alex Mariakakis, PhD
  • Department of Computer Science
  • University of Toronto
  • Bahen Centre for Information Technology, Room 4283
  • 40 St. George Street
  • Toronto, ON, M5S 2E4
  • Canada
  • Phone: 1 416 978 5359
  • Email: mariakakis@cs.toronto.edu