Flow State Detection
Flow State Detection is a computational method within learner engagement modeling that identifies the psychological state of optimal engagement, characterized by intense focus and intrinsic motivation, through real-time analysis of behavioral, physiological, or interactional indicators during learning tasks.
82
Publications
3.6K
Citations
277
Authors
130
Institutions
Publications per year
2017–2026
32
Parents
82
Lee Breslau, Edward W. Knightly, Scott Shenker et al. · ACM SIGCOMM Computer Communication Review · 2000 · 307 citations · Full text
Kenji Katahira, Yoichi Yamazaki, Chiaki Yamaoka et al. · Frontiers in Psychology · 2018 · 216 citations · Full text
John Gruzelier, Atsuko Inoue, Roger Smart et al. · Neuroscience Letters · 2010 · 114 citations
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Society for Chemical Engineering and Biotechnology, Germany
2 publications · 32 citations
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University of California San Diego
San Diego, United States
3 h-index
7 publications
554 citations
AT&T (United States)
Bedminster, United States
2 h-index
3 publications
712 citations
Sheffield Hallam University
Sheffield, United Kingdom
2 h-index
3 publications
132 citations
Universidade de São Paulo
São Paulo, Brazil
2 h-index
3 publications
119 citations
University of California, Berkeley
Berkeley, United States
2 h-index
6 publications
129 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
4 publications
44 citations
ETH Zurich
Zurich, Switzerland
2 h-index
4 publications
143 citations
Heilongjiang Institute of Technology
Harbin, China
2 h-index
8 publications
336 citations
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3 publications · 363 citations
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2 publications · 105 citations
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2 publications · 84 citations
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2 publications · 72 citations
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2 publications · 32 citations
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