Immersive Selection

Immersive Selection is an interactive technique within immersive scientific visualization that enables users to identify, isolate, and manipulate specific data elements or regions of interest in a three-dimensional, immersive environment through naturalistic, spatially-aware input modalities.

4

Publications

290

Citations

18

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

18

  1. JJ
    Joaquim Jorge

    Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal

    1 publications · 39 citations

    1

    h-index

  2. AF
    Andrew Forsberg

    Brown University, United States

    1 publications · 179 citations

    1

    h-index

  3. TT
    Timo Tuomisto

    VTT Technical Research Centre of Finland, Finland

    1 publications · 62 citations

    1

    h-index

  4. KP
    Kenneth P. Herndon

    Brown University, United States

    1 publications · 179 citations

    1

    h-index

  5. DM
    Daniel Medeiros

    University of Glasgow, United Kingdom

    1 publications · 39 citations

    1

    h-index

1–5 of 18

Venues

  1. Procedia Computer Science

    1 publications · 10 citations

    1

    h-index

  2. Personal and Ubiquitous Computing

    1 publications · 62 citations

    1

    h-index

  3. Computers & Graphics

    1 publications · 39 citations

    1

    h-index

  4. Frontiers in Psychology

    1 publications · 11 citations

1–4