Embodied Data Visualization

Embodied Data Visualization is a data visualization method that integrates bodily perception and physical interaction as integral components of the visualization process, distinguishing itself by grounding data interpretation in sensorimotor experience rather than abstract visual representation alone.

6

Publications

341

Citations

25

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

25

  1. PF
    Paul F. M. J. Verschure

    Universitat Pompeu Fabra, Spain

    1 publications · 24 citations

    1

    h-index

  2. PO
    Pedro Omedas

    Universitat Pompeu Fabra, Spain

    1 publications · 24 citations

    1

    h-index

  3. KM
    Kim Marriott

    Monash University, Australia

    1 publications · 217 citations

    1

    h-index

  4. FC
    Francesco Cafaro

    Indiana University – Purdue University Indianapolis, United States

    1 publications · 43 citations

    1

    h-index

  5. MC
    Maxime Cordeil

    Monash University, Australia

    1 publications · 217 citations

    1

    h-index

1–5 of 25

Venues

  1. IEEE Transactions on Learning Technologies

    1 publications · 25 citations

    1

    h-index

  2. Body & Society

    1 publications · 18 citations

    1

    h-index

  3. ICTACT Journal on Soft Computing

    1 publications · 14 citations

    1

    h-index

  4. Frontiers in Education

    FEDUC · 1 publications · 11 citations

1–4