Interactive Uncertainty Exploration
Interactive Uncertainty Exploration is a visual analytics methodology that enables users to dynamically probe, manipulate, and interpret uncertainty in multivariate, spatial, or network data through interactive visualization interfaces, distinguishing it from static or automated uncertainty analysis by emphasizing user-driven investigation and cognitive engagement with uncertain information.
5
Publications
148
Citations
19
Authors
8
Institutions
Publications per year
2017–2026
4
5
Jessica Hullman, Matthew Kay, Yea‐Seul Kim et al. · IEEE Transactions on Visualization and Computer Graphics · 2017 · 60 citations
Uncertainty Visualisation: An Interactive Visual Survey
Amit Kumar Jena, Ulrich Engelke, Tim Dwyer et al. · 2020 · 23 citations
Emmelyn Croes, Marjolijn L. Antheunis, Alexander Schouten et al. · Computers in Human Behavior · 2019 · 16 citations
1–5 of 5
19
Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 16 citations
1
h-index
1
h-index
1
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
1 publications · 23 citations
1
h-index
1
h-index
1–5 of 19
8

Vassar College
Town of Poughkeepsie, United States
1 h-index
1 publications
60 citations
Tsinghua University
Beijing, China
1 h-index
3 publications
48 citations
IITB-Monash Research Academy
Mumbai, India
1 h-index
5 publications
115 citations

Tilburg University
Tilburg, The Netherlands
1 h-index
4 publications
64 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
60 citations
University of Washington
Seattle, United States
1 h-index
2 publications
120 citations

Peking University
Beijing, China
1 h-index
1 publications
16 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
33 citations
1–8 of 8
TVCG · 2 publications · 76 citations
2
h-index
1 publications · 16 citations
1
h-index
1–2