A web-based collaborative translation management system for public health workers

  • Authors:

  • Adrian Laurenzi;Megumu Brownstein;Anne M. Turner;Julie A. Kientz;Katrin Kirchhoff

  • Affiliations:

  • University of Washington, Seattle, USA;University of Washington, Seattle, USA;University of Washington, Seattle, USA;University of Washington, Seattle, USA;University of Washington, Seattle, USA

  • Venue:
  • CHI '13 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2013

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Abstract

This paper reports on the design process of a web-based collaborative system for the production of multilingual health communication materials. The system is based on a workflow combining machine translation and human post-editing and has been designed for public health professionals who are bilingual domain experts but not necessarily trained translators. Our initial data gathering phase involved interviews and focus groups with local and regional public health Dept.s. Based on the design recommendations extracted from the data, we implemented a web-based prototype collaborative translation management system. We further refined the system through an iterative design process that included informal user testing with multilingual participants. Future work will include usability studies with public health workers and the integration of additional collaborative features.