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.
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http://dx.doi.org/10.1109/MCG.2020.3025322 | DOI Listing |
IEEE Trans Vis Comput Graph
September 2024
Inspired by recent advances in digital fabrication, artists and scientists have demonstrated that physical data encodings (i.e., data physicalizations) can increase engagement with data, foster collaboration, and in some cases, improve data legibility and analysis relative to digital alternatives.
View Article and Find Full Text PDFBMC Psychol
May 2024
Master of Clinical Psychology, Faculty of Medical Sciences, Islamic Azad University, Iran, Arak.
The present research was conducted aiming at predicting the resilience based on parenting and coping strategies in patients with psychosomatic disorders. The statistical population of the present research consisted of all patients suffering from psychosomatic disorders who had visited medical clinics related to Medical Sciences (University) of Arak County in 2019-20. The statistical sample includes 347 women, aged 18 to 55 years-old, who were selected by available sampling.
View Article and Find Full Text PDFIEEE Comput Graph Appl
January 2023
We requested an interview with the Winnipeg-based JNZNBRK art collaborative upon being curious about their work process. The artwork they present on jnznbrk.com suggested a thoughtful aesthetic involving compelling physical exhibits.
View Article and Find Full Text PDFIEEE Trans Vis Comput Graph
January 2024
Interaction is critical for data analysis and sensemaking. However, designing interactive physicalizations is challenging as it requires cross-disciplinary knowledge in visualization, fabrication, and electronics. Interactive physicalizations are typically produced in an unstructured manner, resulting in unique solutions for a specific dataset, problem, or interaction that cannot be easily extended or adapted to new scenarios or future physicalizations.
View Article and Find Full Text PDFIt is common to advise against using 3D to visualize abstract data such as networks, however Ware and Mitchell's 2008 study showed that path tracing in a network is less error prone in 3D than in 2D. It is unclear, however, if 3D retains its advantage when the 2D presentation of a network is improved using edge-routing, and when simple interaction techniques for exploring the network are available. We address this with two studies of path tracing under new conditions.
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