Article published In: Information Visualization
Edited by Isabel Meirelles, Marian Dörk and Yanni Loukissas
[Information Design Journal 27:1] 2022
► pp. 76–84
JPL/Caltech ArtCenter
Towards a collaborative methodology for interactive scientific data visualization
Available under the Creative Commons Attribution-NonCommercial (CC BY-NC) 4.0 license.
For any use beyond this license, please contact the publisher at rights@benjamins.nl.
Published online: 14 October 2022
https://doi.org/10.1075/idj.22009.hen
https://doi.org/10.1075/idj.22009.hen
Abstract
Data visualization frequently provides audiences with novel semantic and computational presentations. How does a
multifaceted team expand this scope by harnessing the power of visualization as a tool to think with? The NASA JPL/Caltech/
ArtCenter data visualization program demonstrates how scientific knowledge, shaped from data and theory, is equally co-constructed
from diverse human perspectives. We will share case studies from Mars Rover Path planning and PIXLISE, a visual reasoning tool for
understanding planetary geology. Working from source data through mixed media artifacts, these projects explore co-design methods
for complex scientific domains with real-world applications. Our methodology emphasizes that all participants in the co-design
process are both learners and experts. In this dynamic, the design and coding process are unique modes of critical discovery.
Article outline
- Background
- Methodology
- RSketch challenge
- Challenge
- Solution
- PIXLISE
- Challenge
- Process
- Solutions
- Conclusion
- Acknowledgements
- Notes
References
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