Attention-aware Systems
Attention-Aware Systems is a computational framework that, as a subclass of context-aware systems, specifically monitors and interprets human attentional states and behaviors to dynamically adapt system responses in human-cyber-physical interactions.
237
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16.9K
Citations
901
Authors
305
Institutions
Publications per year
2017–2026
164
237
Position-aware Attention and Supervised Data Improve Slot Filling
Yuhao Zhang, Victor W. Zhong, Danqi Chen et al. · 2017 · 839 citations · Full text
Project Aura: toward distraction-free pervasive computing
David Garlan, Daniel P. Siewiorek, A. Smailagic et al. · IEEE Pervasive Computing · 2002 · 779 citations
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University of Chinese Academy of Sciences
Beijing, China
13 h-index
35 publications
3.5K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
41 publications
3K citations
Tsinghua University
Beijing, China
10 h-index
37 publications
2.8K citations
University of Science and Technology of China
Hefei, China
8 h-index
23 publications
1.5K citations
Nanyang Technological University
Singapore, Singapore
6 h-index
18 publications
3.8K citations
Institute of Automation
Beijing, China
5 h-index
17 publications
2.5K citations
University of Stuttgart
Stuttgart, Germany
5 h-index
8 publications
193 citations

Sun Yat-sen University
Guangzhou, China
5 h-index
13 publications
2.6K citations
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Repository · 14 publications · 997 citations
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Conference · 8 publications · 537 citations
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6 publications · 270 citations
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5 publications · 853 citations
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5 publications · 167 citations
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