Domain-specific Heuristics

Domain-Specific Heuristics is a systematic set of evaluation principles, within the broader category of usability heuristics, that are tailored to address the unique functional, cognitive, and contextual requirements of a particular application domain, thereby differentiating them from general-purpose heuristics through their specialized focus and contextual precision.

179

Publications

10.7K

Citations

486

Authors

206

Institutions

Publications per year

2017–2026

53

Authors

486

  1. CR
    Cristián Rusu

    Pontificia Universidad Católica de Valparaíso, Chile

    6 publications · 375 citations

    6

    h-index

  2. AS
    Andreas Sotirakopoulos

    University of British Columbia, Canada

    3 publications · 81 citations

    3

    h-index

  3. SR
    Silvana Roncagliolo

    Pontificia Universidad Católica de Valparaíso, Chile

    3 publications · 62 citations

    3

    h-index

  4. KB
    Konstantin Beznosov

    University of British Columbia, Canada

    3 publications · 81 citations

    3

    h-index

  5. VR
    Virginica Rusu

    Pontificia Universidad Católica de Valparaíso, Chile

    3 publications · 62 citations

    3

    h-index

1–5 of 486

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 217 citations

    9

    h-index

  2. 3

    h-index

  3. Computer Standards & Interfaces

    3 publications · 323 citations

    3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 131 citations

    3

    h-index

  5. Cognitive Science

    3 publications · 289 citations

    3

    h-index

1–5