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Uncertainty in Science is Malleable. Advocating for User-Agency in Defining Uncertainty in Visualizations: a Case Study in Geology

Authors: Vanessa Peña-Araya; Consuelo Martínez Fontaine; Xiang Wei; Guillaume Delpech; Anastasia Bezerianos;

Uncertainty in Science is Malleable. Advocating for User-Agency in Defining Uncertainty in Visualizations: a Case Study in Geology

Abstract

Uncertainty is inherent in science built on previous results. In geoscience, for instance, researchers analyzing volcanic deposits assess the uncertainty around past deposit classifications. To aid this assessment, we followed a design by immersion approach to co-design uncertainty visualizations. We observed that besides visualizing it, it is challenging even to define what constitutes uncertainty, as how researchers understand and process uncertainty evolves. This motivated us to reach other members of the community to better understand how they integrate uncertainty in their work. Informed by a series of interviews, we first redesigned our visualization system and then introduced it as a technology probe to a broader community of geoscientists. Our results highlight that uncertainty in science is malleable and that visualization systems should be designed with this malleability in mind. Through a set of design implications, we advocate for visualizations that promote user agency and flexibility in defining and processing uncertainty.

Keywords

Qualitative Methods, Design Study, Uncertainty, Geology, Working with Domain Experts, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Visualization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid