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

Crowdsourcing and Mechanical Turks (99) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (851) Consumer & Patient Education and Shared-Decision Making (698) New Methods (964) Recruitment of Research Participants (306)

Published on in Vol 17, No 12 (2015): December

Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches

Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches

Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches

Authors of this article:

Jinqiu Kuang1 Author Orcid Image ;   Lauren Argo1 Author Orcid Image ;   Greg Stoddard2 Author Orcid Image ;   Bruce E Bray1 Author Orcid Image ;   Qing Zeng-Treitler1, 3 Author Orcid Image
Article Authors Cited by (15) Tweetations (6) Metrics

Jinqiu Kuang   1 , MS ;   Lauren Argo   1 , BFA ;   Greg Stoddard   2 , MS ;   Bruce E Bray   1 , MD ;   Qing Zeng-Treitler   1, 3 , PhD

1 University of Utah, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States

2 University of Utah, Study Design and Biostatistics Center, University of Utah, Salt Lake City, UT, United States

3 George E. Wahlen Department of Veterans Affairs Medical Center, Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center, Salt Lake City, UT, United States

Corresponding Author:

  • Jinqiu Kuang, MS
  • University of Utah
  • Department of Biomedical Informatics
  • University of Utah
  • 421 Wakara Way, Ste 140
  • Salt Lake City, UT, 84108
  • United States
  • Phone: 1 801-213-3590
  • Fax: 1 801-581-4297
  • Email: Jinqiu.kuang@utah.edu