Failure Explanation

Failure Explanation is a type of robot explainability mechanism that specifically accounts for a robot's operational breakdown or suboptimal performance by elucidating the underlying causes, conditions, or decision-making flaws that led to the failure, thereby distinguishing it from general explainability methods that may address normal-function or task-based behavior.

22

Publications

667

Citations

45

Authors

23

Institutions

Publications per year

2017–2026

11

Authors

45

  1. SC
    Sonia Chernova

    Georgia Institute of Technology, United States

    3 publications · 128 citations

    3

    h-index

  2. DD
    Devleena Das

    Georgia Institute of Technology, United States

    3 publications · 128 citations

    3

    h-index

  3. MD
    Maximilian Diehl

    Chalmers University of Technology, Sweden

    2 publications · 58 citations

    2

    h-index

  4. JM
    John McClure

    Victoria University of Wellington, New Zealand

    2 publications · 57 citations

    2

    h-index

  5. JJ
    Jos Jaspars

    University of Oxford, United Kingdom

    2 publications · 57 citations

    2

    h-index

1–5 of 45

Venues

  1. Journal of Personality and Social Psychology

    2 publications · 57 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 33 citations

    2

    h-index

  3. Robotics and Autonomous Systems

    1 publications · 23 citations

    1

    h-index

  4. National Conference on Artificial Intelligence

    Conference · 1 publications · 27 citations

    1

    h-index

  5. European Conference on Artificial Intelligence

    Conference · 1 publications · 56 citations

    1

    h-index

1–5