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

Authors

19

  1. QL
    Quan Li

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 16 citations

    1

    h-index

  2. JY
    Jun‐Hai Yong

    Tsinghua University, China

    1 publications · 16 citations

    1

    h-index

  3. LC
    Li Chen

    Tsinghua University, China

    1 publications · 16 citations

    1

    h-index

  4. CP
    Cécile Paris

    Commonwealth Scientific and Industrial Research Organisation, Australia

    1 publications · 23 citations

    1

    h-index

  5. MZ
    Mingdong Zhang

    Tsinghua University, China

    1 publications · 16 citations

    1

    h-index

1–5 of 19

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 76 citations

    2

    h-index

  2. Computers in Human Behavior

    1 publications · 16 citations

    1

    h-index

1–2