Human-in-the-loop Data Collection
Human-In-The-Loop Data Collection is a data acquisition methodology in which human agents are actively and iteratively integrated into the data generation, annotation, or refinement process to enhance data quality, contextual accuracy, or system performance beyond what automated methods alone can achieve.
16
Publications
869
Citations
67
Authors
25
Institutions
Publications per year
2017–2026
14
Variants
Hitl Data Collection
Parents
16
Internet-scale collection of human-reviewed data
Qi Su, Dmitry Pavlov, Jyh-Herng Chow et al. · 2007 · 125 citations
1–5 of 16
67
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25
University of Oxford
Oxford, United Kingdom
1 h-index
2 publications
34 citations

Technische Universität Darmstadt
Darmstadt, Germany
1 h-index
1 publications
16 citations
Brown University
Providence, United States
1 h-index
2 publications
32 citations
University of California, San Francisco
San Francisco, United States
1 h-index
5 publications
210 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
274 citations
Cal Humanities
San Francisco, United States
1 h-index
2 publications
104 citations
Columbia University
New York, United States
1 h-index
1 publications
47 citations
UiT The Arctic University of Norway
Tromsø, Norway
1 h-index
1 publications
39 citations
1–8 of 25
BRM · 1 publications · 17 citations
1
h-index
1 publications · 52 citations
1
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1 publications · 19 citations
1
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ComST · 1 publications · 274 citations
1
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1 publications · 44 citations
1
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1–5