Scroll Behavior Analysis

Scroll Behavior Analysis is a user behavior analysis method that specifically characterizes and quantifies the patterns, dynamics, and intent of users’ vertical or horizontal scrolling interactions with digital content to infer engagement, attention, or information-seeking strategies.

4

Publications

93

Citations

20

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

20

  1. KN
    Kazuo Nakazawa

    National Cerebral and Cardiovascular Center, Japan

    1 publications · 29 citations

    1

    h-index

  2. TN
    Tsunetoyo Namba

    Shiga University of Medical Science, Japan

    1 publications · 29 citations

    1

    h-index

  3. KL
    Koen L. Vincken

    University Medical Center Utrecht, Netherlands

    1 publications · 23 citations

    1

    h-index

  4. FN
    Francesco Nascimben

    University of Padua, Italy

    1 publications · 21 citations

    1

    h-index

  5. FG
    Francesco Giacomel

    University of Padua, Italy

    1 publications · 21 citations

    1

    h-index

1–5 of 20

Venues

  1. Advances in Health Sciences Education

    1 publications · 23 citations

    1

    h-index

  2. Journal of Cardiovascular Electrophysiology

    1 publications · 29 citations

    1

    h-index

  3. Energies

    1 publications · 21 citations

    1

    h-index

  4. International Journal of Refrigeration

    1 publications · 20 citations

    1

    h-index

1–4