Affective Data Visualization

Affective Data Visualization is a data visualization approach that integrates emotional or physiological response data as a core component to represent subjective human experiences, thereby distinguishing itself from traditional visualization methods through its focus on expressing affective states rather than solely objective, quantifiable metrics.

45

Publications

1.4K

Citations

162

Authors

81

Institutions

Publications per year

2017–2026

23

Authors

162

  1. JH
    Jörn Hurtienne

    University of Würzburg, Germany

    2 publications · 110 citations

    2

    h-index

  2. FM
    F.M. Maas

    University of Würzburg, Germany

    1 publications · 15 citations

    1

    h-index

  3. CB
    Cristina Bosco

    University of Turin, Italy

    1 publications · 23 citations

    1

    h-index

  4. RC
    Richard Carter

    University of Edinburgh, United Kingdom

    1 publications · 74 citations

    1

    h-index

  5. EH
    Elizabeth Hetzler

    Pacific Northwest National Laboratory, United States

    1 publications · 74 citations

    1

    h-index

1–5 of 162

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 137 citations

    4

    h-index

  2. 2

    h-index

  3. IEEE Computer Graphics and Applications

    2 publications · 110 citations

    2

    h-index

  4. 1

    h-index

  5. Information Discovery and Delivery

    1 publications · 10 citations

    1

    h-index

1–5