Data Clothing and BigBarChart: Designing Physical Data Reports on Indoor Pollutants for Individuals and Communities

IEEE Comput Graph Appl. 2021 Jan-Feb;41(1):87-98. doi: 10.1109/MCG.2020.3025322. Epub 2021 Jan 15.

Abstract

In response to participant preferences and new ethics guidelines, researchers are increasingly sharing data with health study participants, including data on their own household chemical exposures. Data physicalization may be a useful tool for these communications, because it is thought to be accessible to a general audience and emotionally engaged. However, there are limited studies of data physicalization in the wild with diverse communities. Our application of this method in the Green Housing Study is an early example of using data physicalization in environmental health report-back. We gathered feedback through community meetings, prototype testing, and semistructured interviews, leading to the development of data t-shirts and other garments and person-sized bar charts. We found that participants were enthusiastic about data physicalizations, it connected them to their previous experience, and they had varying desires to share their data. Our findings suggest that researchers can enhance environmental communications by further developing the human experience of physicalizations and engaging diverse communities.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants
  • Air Pollution, Indoor*
  • Clothing*
  • Data Display
  • Environmental Health*
  • Exhibitions as Topic
  • Humans
  • Information Dissemination*

Substances

  • Air Pollutants