S
Susanne M. Jaeggi
Researcher at University of California, Irvine
Publications - 129
Citations - 10256
Susanne M. Jaeggi is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Working memory & Cognition. The author has an hindex of 38, co-authored 115 publications receiving 8685 citations. Previous affiliations of Susanne M. Jaeggi include University of Maryland, College Park & University of California, Berkeley.
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Journal ArticleDOI
Improving fluid intelligence with training on working memory
TL;DR: It is concluded that it is possible to improve Gf without practicing the testing tasks themselves, opening a wide range of applications.
Journal ArticleDOI
The concurrent validity of the N-back task as a working memory measure
TL;DR: The data suggest that the N-back task is not a useful measure of individual differences in WM, partly because of its insufficient reliability, but the task seems to be useful for experimental research in WM and also well predicts inter-individual differences in other higher cognitive functions, such as fluid intelligence, especially when used at higher levels of load.
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Short- and long-term benefits of cognitive training
TL;DR: It is concluded that cognitive training can be effective and long-lasting, but that there are limiting factors that must be considered to evaluate the effects of this training, one of which is individual differences in training performance.
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Improving fluid intelligence with training on working memory: a meta-analysis
TL;DR: It is concluded that short-term cognitive training on the order of weeks can result in beneficial effects in important cognitive functions as measured by laboratory tests.
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The Relationship between N-Back Performance and Matrix Reasoning--Implications for Training and Transfer.
Susanne M. Jaeggi,Barbara Studer-Luethi,Barbara Studer-Luethi,Martin Buschkuehl,Yi-Fen Su,John Jonides,Walter J. Perrig +6 more
TL;DR: In this article, the authors explored the underlying mechanisms of transfer effect in two studies, and evaluated the transfer potential of a single n-back task, and showed that training on a single N-Back task yields the same improvement in fluid intelligence as training on dual N-back tasks, but that there should be less transfer to working memory capacity.