Dashboard Cognitive Load

Dashboard Cognitive Load is a cognitive load construct that specifically refers to the mental effort required by users to interpret, process, and make decisions from information presented within a dashboard interface, distinguishing it from general cognitive load by its dependence on dashboard design elements such as data density, visual encoding, spatial layout, and interactivity.

11

Publications

351

Citations

58

Authors

31

Institutions

Publications per year

2017–2026

8

Authors

58

  1. PS
    Preethi Srinivas

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 61 citations

    2

    h-index

  2. AF
    Anthony Faiola

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 61 citations

    2

    h-index

  3. SC
    Sven Charleer

    KU Leuven, Belgium

    1 publications · 55 citations

    1

    h-index

  4. JL
    Jie Li

    Shenzhen University, China

    1 publications · 25 citations

    1

    h-index

  5. HC
    H. Cauwenbergh

    KU Leuven, Belgium

    1 publications · 55 citations

    1

    h-index

1–5 of 58

Venues

  1. Assessment & Evaluation in Higher Education

    1 publications · 69 citations

    1

    h-index

  2. Applied Ergonomics

    1 publications · 19 citations

    1

    h-index

  3. 1

    h-index

  4. Communications of the ACM

    1 publications · 38 citations

    1

    h-index

  5. Journal of the Association for Information Systems

    JAIS · 1 publications · 15 citations

    1

    h-index

1–5