Icon Recognition

Icon Recognition is a computational method in human-computer interaction that identifies and interprets graphical icons within user interfaces by leveraging visual pattern analysis and contextual semantics to distinguish icon-specific affordances from other graphical elements.

43

Publications

1.5K

Citations

103

Authors

47

Institutions

Publications per year

2017–2026

14

Authors

103

  1. SM
    Siné McDougall

    Bournemouth University, United Kingdom

    3 publications · 245 citations

    3

    h-index

  2. SI
    Sarah Isherwood

    University of Leeds, United Kingdom

    2 publications · 183 citations

    2

    h-index

  3. ZS
    Zhangfan Shen

    Jiangnan University, China

    1 publications · 50 citations

    2

    h-index

  4. SA
    Shinji Abe

    Nagoya University, Japan

    2 publications · 70 citations

    2

    h-index

  5. TP
    Tibor Petzoldt

    Technische Universität Dresden, Germany

    1 publications · 40 citations

    1

    h-index

1–5 of 103

Venues

  1. Behaviour and Information Technology

    3 publications · 78 citations

    3

    h-index

  2. 2

    h-index

  3. Applied Ergonomics

    2 publications · 107 citations

    2

    h-index

  4. 2

    h-index

  5. ACM SIGCHI Bulletin

    1 publications · 18 citations

    1

    h-index

1–5