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

Laura J. Perovich, Phoebe Cai, Amber Guo, Kristin Zimmerman, Katherine Paseman, Dayanna Espinoza Silva, Julia Green Brody

2020IEEE Computer Graphics and Applications12 citationsDOIOpen Access PDF

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.

Topics & Concepts

ClothingComputer scienceData sharingData scienceInternet privacyApplied psychologyHuman–computer interactionPsychologyMedicineAlternative medicinePathologyArchaeologyHistoryInnovative Human-Technology InteractionData Visualization and AnalyticsMobile Crowdsensing and Crowdsourcing
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