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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

| ArtCenter College of DesignPasadena
| California Institute of Technology
| California Institute of Technology
| NASA Jet Propulsion Laboratory, USA
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.
Keywords: science, interactive data visualization, interdisciplinary methodology
Article outline
  • Background
  • Methodology
  • RSketch challenge
    • Challenge
    • Solution
  • PIXLISE
    • Challenge
    • Process
    • Solutions
  • Conclusion
  • Acknowledgements
  • Notes
  • References
Available under the Creative Commons Attribution-NonCommercial (CC BY-NC) 4.0 license.

For any use beyond this license, please contact the publisher at [email protected].

Published online: 14 October 2022
DOI logo
https://doi.org/10.1075/idj.22009.hen
References (13)
References
Andersen, P. V., & Mosleh, W. S. (2020). Conflicts in co-design: engaging with tangible artefacts in multi-stakeholder collaboration. CoDesign, 17 1, 473 – 492. DOI logoGoogle Scholar
Buchenau, M., & Suri, J. (2000). Experience Prototyping. In Proceedings of the Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, DIS (p. 4331). DOI logoGoogle Scholar
Conlen, M., Stalla, S., Jin, C., Hendrie, M., Mushkin, H., Lombeyda, S., & Davidoff, S. (2018). Towards Design Principles for Visual Analytics in Operations Contexts. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–7. DOI logoGoogle Scholar
Davidoff, S., Lee, M. K., Dey, A. K., & Zimmerman, J. (2007). Rapidly Exploring Application Design through Speed Dating. Proceedings of the 9th International Conference on Ubiquitous Computing, 429–446. DOI logoGoogle Scholar
(2007). Rapidly Exploring Application Design through Speed Dating. Proceedings of the 9th International Conference on Ubiquitous Computing, 429–446. DOI logoGoogle Scholar
Dávila, P. (2017). Visualization as assemblage: Exploring critical visualization practice. Information Design Journal, 23 (1), 19–31. DOI logoGoogle Scholar
Davis, S. B. (2019). Design as externalization. Information Design Journal, 25 (1), 28–42. DOI logoGoogle Scholar
Flannery, D., Davidoff Michael, M., Tice, A., Allwood, W., Heirwegh, E., Hurowitz, Liu and Nemere, P. (2021). Increasing Efficiency of Mars 2020 Rover Operations via Novel Data Analysis Software for the Planetary Instrument for X-ray Lithochemistry (PIXL). In Proceedings of the 43rd Committee on Space Research (COSPAR) Scientific Assembly 43 (B0.2). [URL]
Giacomin, J. (2014). What Is Human Centred Design?, The Design Journal, 17:4, 606–623. DOI logoGoogle Scholar
Schurman, D., Nair, P., Davidoff, S., Galvin, A., Allwood, A., Liu, Y., Flannery, D., Hodyss, R. P., Lombeyda, S., Hendrie, M., Mushkin, H., & Heirwegh, C. (2019, June 27). PIXELATE: Novel Visualization and Computational Methods for the Analysis of Astrobiological Spectroscopy Data. 2019 Astrobiology Science Conference. [URL]
Ware, C. (2020). Information Visualization – 4th Edition. Morgan Kaufmann. DOI logoGoogle Scholar
Ye, C., Hermann, L., Yildirim, N., Bhat, S., Moritz, D., & Davidoff, S. (2021). PIXLISE-C: Exploring The Data Analysis Needs of NASA Scientists for Mineral Identification, Proceedings of the 2021 CHI Workshop on Human-Computer Interaction for Space Exploration (SPACE CHI 2021). [URL]
Zimmerman, J., Forlizzi, J., & Evenson, S. (2007). Research through design as a method for interaction design research in HCI. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 493–502. DOI logoGoogle Scholar
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