Content Scanning Patterns
Content Scanning Patterns is a cognitive-behavioral framework that characterizes the systematic ways in which users visually and selectively process digital information based on relevance, structure, and contextual cues during content prioritization tasks.
4
Publications
515
Citations
15
Authors
6
Institutions
Publications per year
2017–2026
0
Parents
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Fast and memory-efficient regular expression matching for deep packet inspection
Yu Fang, Zhifeng Chen, Yanlei Diao et al. · 2006 · 462 citations
Analysis of preview and review patterns in undergraduates' e-book logs
Misato Oi, Fumiya Okubo, Atsushi Shimada et al. · 2015 · 18 citations
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15
1 publications · 23 citations
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Alcatel Lucent (Germany)
Stuttgart, Germany
1 h-index
1 publications
462 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
1 publications
462 citations
Kyushu University
Fukuoka, Japan
1 h-index
4 publications
72 citations
Berkeley College
New York, United States
1 h-index
2 publications
924 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
462 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
924 citations
1–6 of 6
1 publications · 12 citations
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1 publications · 23 citations
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