Visual Explanation Interfaces
Visual Explanation Interfaces is a type of explanation interface that employs visual representations to convey the decision-making processes of robotic systems, distinguishing itself by utilizing graphical, spatial, or temporal visualizations to enhance human understanding of robot behavior.
18
Publications
1.2K
Citations
76
Authors
27
Institutions
Publications per year
2017–2026
12
Parents
18
John O’Donovan, Barry Smyth, Brynjar Gretarsson et al. · 2008 · 144 citations
Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations
Paolo Tamagnini, Josua Krause, Aritra Dasgupta et al. · 2017 · 70 citations
1–5 of 18
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University of California, Santa Barbara, United States
1 publications · 144 citations
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1–5 of 76
27
University of Maryland, College Park
College Park, United States
2 h-index
7 publications
431 citations
New York University
New York, United States
2 h-index
4 publications
170 citations
Tokyo Institute of Technology
Tokyo, Japan
1 h-index
3 publications
30 citations
Google (United States)
Mountain View, United States
1 h-index
3 publications
621 citations
Gakushūin School Corporation
Tokyo, Japan
1 h-index
1 publications
10 citations
National University of Singapore
Singapore, Singapore
1 h-index
4 publications
96 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
7 publications
2.3K citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
2 publications
50 citations
1–8 of 27
TVCG · 2 publications · 370 citations
2
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1 publications · 34 citations
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TIIS · 1 publications · 16 citations
1
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1 publications · 109 citations
1
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Repository · 1 publications · 15 citations
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