Concepedia

Accessibility Of Labels

Accessibility of Labels is a measurement construct that quantifies the ease with which human annotators or automated systems can obtain, interpret, and utilize label information in a dataset, distinguishing it from related metadata attributes by specifically focusing on the availability, clarity, and usability of the labels themselves within a given labeling system.

2

Publications

111

Citations

6

Authors

2

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–2 of 2

Authors

6

  1. JF
    James Fogarty

    University of Washington, United States

    2 publications · 111 citations

    2

    h-index

  2. AS
    Anne Spencer Ross

    University of Washington, United States

    2 publications · 111 citations

    2

    h-index

  3. JO
    Jacob O. Wobbrock

    University of Washington, United States

    2 publications · 111 citations

    2

    h-index

  4. MZ
    Mingyuan Zhong

    University of Washington, United States

    1 publications · 24 citations

    1

    h-index

  5. XZ
    Xiaoyi Zhang

    University of Washington, United States

    1 publications · 87 citations

    1

    h-index

1–5 of 6

Institutions

2

  1. University of Washington

    Seattle, United States

    2 h-index

    8 publications

    444 citations

  2. Bucknell University

    Lewisburg, United States

    1 h-index

    1 publications

    24 citations

1–2 of 2

Venues

  1. CHI Conference on Human Factors in Computing Systems

    Conference · 1 publications · 24 citations

    1

    h-index

1–1