Sensemaking Systems

Sensemaking Systems is a class of interactive computational systems designed to support users in constructing, refining, and articulating understanding of complex, often heterogeneous, data by integrating cognitive, perceptual, and analytical processes to scaffold the evolution of mental models.

53

Publications

2K

Citations

151

Authors

81

Institutions

Publications per year

2017–2026

23

Authors

151

  1. SA
    Simon Attfield

    University College London, United Kingdom

    3 publications · 45 citations

    3

    h-index

  2. AK
    Aniket Kittur

    Carnegie Mellon University, United States

    3 publications · 99 citations

    3

    h-index

  3. HC
    Haeyong Chung

    Virginia Tech, United States

    1 publications · 14 citations

    2

    h-index

  4. BL
    B. L. William Wong

    Middlesex University, United Kingdom

    2 publications · 33 citations

    2

    h-index

  5. SC
    Sharmin Choudhury

    Middlesex University, United Kingdom

    2 publications · 33 citations

    2

    h-index

1–5 of 151

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 81 citations

    3

    h-index

  2. Computer

    1 publications · 11 citations

    2

    h-index

  3. 1

    h-index

  4. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 59 citations

    1

    h-index

  5. Personal and Ubiquitous Computing

    1 publications · 14 citations

    1

    h-index

1–5