Guided Exploration

Guided Exploration is a narrative visualization technique that structures user interaction with immersive data environments by directing attention and sequencing insights through predefined pathways, thereby distinguishing it from open or free exploration approaches.

111

Publications

4.3K

Citations

373

Authors

153

Institutions

Publications per year

2017–2026

50

Authors

373

  1. DV
    Dániel Varró

    Budapest University of Technology and Economics, Hungary

    3 publications · 115 citations

    3

    h-index

  2. AK
    Alois Knoll

    Technical University of Munich, Germany

    3 publications · 60 citations

    3

    h-index

  3. KG
    Kelvin Guu

    Stanford University, United States

    2 publications · 49 citations

    2

    h-index

  4. CW
    Christoph W. Borst

    University of Louisiana at Lafayette, United States

    2 publications · 32 citations

    2

    h-index

  5. PP
    Panupong Pasupat

    Stanford University, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 373

Venues

  1. IEEE Robotics and Automation Letters

    3 publications · 419 citations

    3

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 79 citations

    3

    h-index

  3. Journal of Cognitive Neuroscience

    2 publications · 54 citations

    2

    h-index

  4. Psychological Methods

    2 publications · 282 citations

    2

    h-index

  5. ACM SIGCHI Bulletin

    2 publications · 27 citations

    2

    h-index

1–5