Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk

@inproceedings{Zeng2013CrowdsourcingPE,
  title={Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk},
  author={Qing Tao Zeng and Maddalena Fiordelli and Bei Yu and Matt Willis and Peiyuan Sun and Jun Wang},
  booktitle={Journal of medical Internet research},
  year={2013}
}
BACKGROUND Consumer and patient participation proved to be an effective approach for medical pictogram design, but it can be costly and time-consuming. We proposed and evaluated an inexpensive approach that crowdsourced the pictogram evaluation task to Amazon Mechanical Turk (MTurk) workers, who are usually referred to as the "turkers". OBJECTIVE To answer two research questions: (1) Is the turkers' collective effort effective for identifying design problems in medical pictograms? and (2) Do… CONTINUE READING

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Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk J Med Internet Res 2013;15(6):e108 URL: http://www.jmir.org/2013/6/e108/ doi:10.2196/jmir.2513 PMID:23732572

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