Progressive Feedback
Progressive Feedback is a methodological contribution within adaptive feedback systems that iteratively refines user performance through cumulative, context-sensitive input designed to advance learning or task execution in incremental stages.
16
Publications
760
Citations
55
Authors
29
Institutions
Publications per year
2017–2026
7
Parents
16
Toshiya Hachisuka, Shinji Ogaki, Henrik Wann Jensen · ACM Transactions on Graphics · 2008 · 221 citations
Claude Knaus, Matthias Zwicker · ACM Transactions on Graphics · 2011 · 99 citations
Toshiya Hachisuka, Shinji Ogaki, Henrik Wann Jensen · 2008 · 44 citations
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29

The University of Queensland
Brisbane, Australia
2 h-index
5 publications
141 citations

UC San Diego Health System
San Diego, United States
2 h-index
4 publications
530 citations

University of Nottingham
Nottingham, United Kingdom
2 h-index
2 publications
265 citations
China University of Mining and Technology
Xuzhou, China
1 h-index
3 publications
96 citations

University of Milan
Milan, Italy
1 h-index
2 publications
60 citations
University of Staffordshire
Stoke-on-Trent, United Kingdom
1 h-index
1 publications
34 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
23 citations

University of Helsinki
Helsinki, Finland
1 h-index
2 publications
94 citations
1–8 of 29
Repository · 3 publications · 86 citations
3
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TOG · 2 publications · 320 citations
2
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1 publications · 36 citations
1
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ECDC · 1 publications · 47 citations
1
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1 publications · 32 citations
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