Explanation Preferences

Explanation Preferences is a construct within robot explainability that characterizes the specific form, content, and delivery modalities of explanations about robotic behavior that are most comprehensible, relevant, and satisfactory to diverse users or stakeholders.

31

Publications

2.1K

Citations

114

Authors

57

Institutions

Publications per year

2017–2026

24

Authors

114

  1. FC
    Frank C. Keil

    Yale University, United States

    5 publications · 1.2K citations

    5

    h-index

  2. JG
    Joshua Goodstein

    Yale University, United States

    2 publications · 1.1K citations

    2

    h-index

  3. ER
    Elizabeth Rawson

    Yale University, United States

    2 publications · 1.1K citations

    2

    h-index

  4. JR
    Jeremy R. Gray

    Yale University, United States

    2 publications · 1.1K citations

    2

    h-index

  5. TL
    Tania Lombrozo

    University of California, Berkeley, United States

    2 publications · 117 citations

    2

    h-index

1–5 of 114

Venues

  1. Psychonomic Bulletin & Review

    3 publications · 113 citations

    3

    h-index

  2. Cognitive Science

    2 publications · 40 citations

    2

    h-index

  3. Journal of Cognitive Neuroscience

    2 publications · 1.1K citations

    2

    h-index

  4. PLoS ONE

    2 publications · 41 citations

    2

    h-index

  5. Cognitive Psychology

    1 publications · 57 citations

    1

    h-index

1–5