Brain-computer Interface Usability
Brain-Computer Interface Usability is a measure of the effectiveness, efficiency, and satisfaction with which users can interact with a brain-computer interface to accomplish intended tasks, distinguished from general usability by its focus on neurophysiological input modalities, asynchronous neural signal interpretation, and the unique cognitive, sensory, and motor constraints imposed by direct brain-based communication and control.
286
Publications
19.7K
Citations
941
Authors
419
Institutions
Publications per year
2017–2026
87
Parents
286
EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
Min-Ho Lee, Oyeon Kwon, Yong-Jeong Kim et al. · GigaScience · 2019 · 564 citations · Full text
Nadine Simon, Ivo Käthner, Carolin A. Ruf et al. · Frontiers in Human Neuroscience · 2015 · 478 citations · Full text
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941
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419
University of Würzburg
Würzburg, Germany
23 h-index
62 publications
7K citations

University of Tübingen
Tübingen, Germany
18 h-index
63 publications
8.7K citations

University of Twente
Enschede, The Netherlands
15 h-index
49 publications
3K citations
Fondazione Santa Lucia
Rome, Italy
12 h-index
50 publications
4.2K citations
University of Michigan
Ann Arbor, United States
10 h-index
20 publications
2.1K citations
Guger Technologies (Austria)
Graz, Austria
9 h-index
29 publications
5.5K citations
Laboratoire Bordelais de Recherche en Informatique
Talence, France
9 h-index
15 publications
946 citations
Technische Universität Berlin
Berlin, Germany
9 h-index
32 publications
5.8K citations
1–8 of 419
14 publications · 1.1K citations
13
h-index
12 publications · 992 citations
12
h-index
10 publications · 535 citations
10
h-index
10 publications · 1.3K citations
10
h-index
9 publications · 925 citations
9
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