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.
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2.9K
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157
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65
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2017–2026
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Heike Felzmann, Eduard Fosch‐Villaronga, Christoph Lutz et al. · Big Data & Society · 2019 · 413 citations · Full text
Public Affairs, Regulatory Policy, Artificial Intelligence +14
Explainable Agents and Robots: Results from a Systematic Literature Review
Sule Anjomshoae, Amro Najjar, Davide Calvaresi et al. · 2019 · 219 citations · Full text
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Arizona State University
Tempe, United States
4 h-index
11 publications
395 citations

Umeå University
Umeå, Sweden
3 h-index
10 publications
986 citations
The University of Osaka
Osaka, Japan
3 h-index
6 publications
212 citations
Tufts University
Medford, United States
2 h-index
5 publications
138 citations

Cornell University
Ithaca, United States
2 h-index
4 publications
216 citations
Institut Systèmes Intelligents et de Robotique
Paris, France
2 h-index
3 publications
204 citations
Cardiff University
Cardiff, United Kingdom
2 h-index
7 publications
267 citations

University of Electro-Communications
Tokyo, Japan
2 h-index
3 publications
104 citations
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Repository · 4 publications · 60 citations
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4 publications · 228 citations
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2 publications · 108 citations
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2 publications · 40 citations
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Conference · 2 publications · 52 citations
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