Explainable Human-robot Interaction

Explainable Human-Robot Interaction is an academic concept referring to a human-robot interaction paradigm in which the robot's behaviors, decisions, or internal states are rendered transparent and interpretable to human users through explicit, meaningful explanations, thereby enabling users to understand, predict, and appropriately trust robotic actions in a given context.

51

Publications

2.9K

Citations

157

Authors

65

Institutions

Publications per year

2017–2026

39

Variants

Xhri

Authors

157

  1. SS
    Sarath Sreedharan

    Arizona State University, United States

    3 publications · 125 citations

    3

    h-index

  2. TC
    Tathagata Chakraborti

    Arizona State University, United States

    3 publications · 125 citations

    3

    h-index

  3. SK
    Subbarao Kambhampati

    Arizona State University, United States

    3 publications · 125 citations

    3

    h-index

  4. DD
    Devleena Das

    Georgia Institute of Technology, United States

    2 publications · 104 citations

    2

    h-index

  5. SB
    Siddhartha Banerjee

    Cornell University, United States

    2 publications · 104 citations

    2

    h-index

1–5 of 157

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 60 citations

    4

    h-index

  2. Paladyn Journal of Behavioral Robotics

    4 publications · 228 citations

    4

    h-index

  3. Procedia Computer Science

    2 publications · 108 citations

    2

    h-index

  4. AI & Society

    2 publications · 40 citations

    2

    h-index

  5. National Conference on Artificial Intelligence

    Conference · 2 publications · 52 citations

    2

    h-index

1–5