Explanation Completeness
Explanation Completeness is a theoretical construct in robot explainability that denotes the extent to which an explanation fully accounts for all relevant aspects of a robot’s decision-making process, behavior, and underlying model mechanics, thereby distinguishing it from partial or superficial explanation frameworks within the domain of explainable artificial intelligence.
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1.3K
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2017–2026
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Too much, too little, or just right? Ways explanations impact end users' mental models
Todd Kulesza, Simone Stumpf, Margaret Burnett et al. · 2013 · 367 citations
Worth Boone, Gualtiero Piccinini · Philosophy of Science · 2016 · 96 citations
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University of Bologna
Bologna, Italy
2 h-index
2 publications
55 citations
University of Oxford
Oxford, United Kingdom
2 h-index
3 publications
80 citations

Macquarie University
Sydney, Australia
2 h-index
2 publications
291 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
71 citations
Google (United States)
Mountain View, United States
2 h-index
4 publications
175 citations

Concordia University
Montreal, Canada
1 h-index
4 publications
64 citations
BOKU University
Vienna, Austria
1 h-index
1 publications
23 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
2 publications
132 citations
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4 publications · 193 citations
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2 publications · 123 citations
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2 publications · 71 citations
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Repository · 1 publications · 30 citations
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1 publications · 19 citations
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