Collaborative Design of Visual Analytic Techniques for Survey Data for Community-based Research in Public Health

Abstract

Citation

@inproceedings{Sreevalsan2017Collaborative,
  author     = {Jaya Sreevalsan-Nair, Shivam Agarwal, Reddy Rani Vangimalla, Sanat Ramesh, and Nirmala Murthy},
  title      = {Collaborative Design of Visual Analytic Techniques for Survey Data for Community-based Research in Public Health},
  booktitle  = {8th Workshop of Visual Analytics in Healthcare (VAHC)},
  pages      = {1--2},
  year       = {2017},
  paperurl   = {/publications/Sreevalsan2017Collaborative/Sreevalsan2017Collaborative.pdf},
  abstract   = {Visual analytics is widely adopted in iterative data science/analytic workflows where the human-in-the-loop uses the visualizations to make sense of the data. We are interested in the in-depth analysis of the surveys conducted for studying the effectiveness of public health programs, for which we propose the use of visual analytics. Here, a collaboration between researchers in public health and visualization has led to co-creation of workflows enabling visual analytic techniques for subject-centric raw data from the surveys. We build an appropriate data model which feeds into our proposed visualization techniques. We present a prototype implementation of our tool, SurveyVis, and demonstrate the usage of our tool in analyzing a public health program deployed in India.}
}