Explainable Dialogue Systems

Explainable Dialogue Systems is a type of dialogue system designed for learning contexts that provides transparent, interpretable, and pedagogically meaningful justifications for its responses, decisions, or actions to support user understanding and trust.

27

Publications

1.2K

Citations

69

Authors

34

Institutions

Publications per year

2017–2026

15

Authors

69

  1. DW
    Douglas Walton

    University of Windsor, Canada

    3 publications · 197 citations

    3

    h-index

  2. AF
    Armin Fiedler

    Saarland University, Germany

    2 publications · 39 citations

    2

    h-index

  3. JF
    Jinlan Fu

    Fudan University, China

    2 publications · 46 citations

    2

    h-index

  4. XY
    Xiao Yang

    University of Toyama, Japan

    2 publications · 46 citations

    2

    h-index

  5. WY
    Weizhe Yuan

    Carnegie Mellon University, United States

    2 publications · 46 citations

    2

    h-index

1–5 of 69

Venues

  1. The Knowledge Engineering Review

    2 publications · 174 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 35 citations

    2

    h-index

  3. Artificial Intelligence

    1 publications · 118 citations

    1

    h-index

  4. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 1 publications · 61 citations

    1

    h-index

  5. Knowledge-Based Systems

    1 publications · 12 citations

    1

    h-index

1–5