Visual Probability Displays

Visual Probability Displays is a methodological construct in probability communication that represents probabilistic information through graphical means to enhance the comprehension, interpretation, and use of uncertainty by leveraging visual variables such as area, length, color, or position to encode likelihoods.

24

Publications

1.4K

Citations

66

Authors

37

Institutions

Publications per year

2017–2026

4

Authors

66

  1. FS
    Frank Snyder

    Oregon State University, United States

    2 publications · 66 citations

    2

    h-index

  2. KB
    Karin Binder

    University of Regensburg, Germany

    2 publications · 51 citations

    2

    h-index

  3. DH
    D.M. Hamby

    Oregon State University, United States

    2 publications · 66 citations

    2

    h-index

  4. KA
    Kevin A. Makinson

    Oregon State University, United States

    2 publications · 66 citations

    2

    h-index

  5. AM
    Ann M. Bisantz

    University at Buffalo, State University of New York, United States

    2 publications · 149 citations

    2

    h-index

1–5 of 66

Venues

  1. Risk Analysis

    3 publications · 228 citations

    3

    h-index

  2. 3

    h-index

  3. Frontiers in Psychology

    2 publications · 51 citations

    2

    h-index

  4. PLoS ONE

    1 publications · 204 citations

    1

    h-index

  5. Journal of Risk Research

    1 publications · 72 citations

    1

    h-index

1–5