Interaction Pattern Detection
Interaction Pattern Detection is a methodological framework in interaction analysis that identifies and characterizes recurrent, structured behaviors among participants by distinguishing underlying interactional regularities from raw interaction data.
105
Publications
6.5K
Citations
382
Authors
204
Institutions
Publications per year
2017–2026
32
Parents
105
Learning to Detect Human-Object Interactions
Yu-Wei Chao, Yunfan Liu, Xieyang Liu et al. · 2018 · 522 citations
Behavior-driven visualization recommendation
David Gotz, Zhen Wen · 2009 · 228 citations
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204

Centre National de la Recherche Scientifique
Paris, France
5 h-index
25 publications
1.9K citations

Sorbonne Université
Paris, France
3 h-index
6 publications
376 citations
Simon Fraser University
Burnaby, Canada
3 h-index
9 publications
242 citations

Kyoto University
Kyoto, Japan
2 h-index
2 publications
51 citations
University of Technology Sydney
Sydney, Australia
2 h-index
3 publications
321 citations

University of Manchester
Manchester, United Kingdom
2 h-index
2 publications
221 citations

Institut National de la Recherche Scientifique
Québec, Canada
2 h-index
2 publications
31 citations
University of Southern California
Los Angeles, United States
2 h-index
6 publications
177 citations
1–8 of 204
6 publications · 138 citations
6
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4 publications · 116 citations
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Repository · 3 publications · 110 citations
3
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3 publications · 222 citations
3
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TKDE · 2 publications · 191 citations
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1–5