Content Scanning Patterns

Content Scanning Patterns is a cognitive-behavioral framework that characterizes the systematic ways in which users visually and selectively process digital information based on relevance, structure, and contextual cues during content prioritization tasks.

4

Publications

515

Citations

15

Authors

6

Institutions

Publications per year

2017–2026

0

Authors

15

  1. KM
    Kelsi M. Lenz

    1 publications · 23 citations

    1

    h-index

  2. YF
    Yu Fang

    University of California, Berkeley, United States

    1 publications · 462 citations

    1

    h-index

  3. CY
    Chengjiu Yin

    Kyushu University, Japan

    1 publications · 18 citations

    1

    h-index

  4. TV
    T. V. Lakshman

    Nokia (United States), United States

    1 publications · 462 citations

    1

    h-index

  5. HO
    Hiroaki Ogata

    Tokushima University, Japan

    1 publications · 18 citations

    1

    h-index

1–5 of 15

Venues

  1. Medical Entomology and Zoology

    1 publications · 12 citations

    1

    h-index

  2. 1

    h-index

1–2