This paper presents an approach to crowdsourcing annotations of UI components from images. Using the “Find-Draw-Verify” task design, an in-HIT example-guided annotation aid is proposed to facilitate workers thereby improving the result quality.
CITATION STYLE
Huang, Y. C., Wang, C. I., Yu, S. Y., & Hsu, J. Y. J. (2013). In-HIT Example-Guided Annotation Aid for Crowdsourcing UI Components. In Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013 (pp. 91–92). AAAI Press. https://doi.org/10.1609/hcomp.v1i1.13052
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