Cargando…
Designing Guiding Systems for Brain-Computer Interfaces
Brain–Computer Interface (BCI) community has focused the majority of its research efforts on signal processing and machine learning, mostly neglecting the human in the loop. Guiding users on how to use a BCI is crucial in order to teach them to produce stable brain patterns. In this work, we explore...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535189/ https://www.ncbi.nlm.nih.gov/pubmed/28824400 http://dx.doi.org/10.3389/fnhum.2017.00396 |
_version_ | 1783253828527718400 |
---|---|
author | Kosmyna, Nataliya Lécuyer, Anatole |
author_facet | Kosmyna, Nataliya Lécuyer, Anatole |
author_sort | Kosmyna, Nataliya |
collection | PubMed |
description | Brain–Computer Interface (BCI) community has focused the majority of its research efforts on signal processing and machine learning, mostly neglecting the human in the loop. Guiding users on how to use a BCI is crucial in order to teach them to produce stable brain patterns. In this work, we explore the instructions and feedback for BCIs in order to provide a systematic taxonomy to describe the BCI guiding systems. The purpose of our work is to give necessary clues to the researchers and designers in Human–Computer Interaction (HCI) in making the fusion between BCIs and HCI more fruitful but also to better understand the possibilities BCIs can provide to them. |
format | Online Article Text |
id | pubmed-5535189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55351892017-08-18 Designing Guiding Systems for Brain-Computer Interfaces Kosmyna, Nataliya Lécuyer, Anatole Front Hum Neurosci Neuroscience Brain–Computer Interface (BCI) community has focused the majority of its research efforts on signal processing and machine learning, mostly neglecting the human in the loop. Guiding users on how to use a BCI is crucial in order to teach them to produce stable brain patterns. In this work, we explore the instructions and feedback for BCIs in order to provide a systematic taxonomy to describe the BCI guiding systems. The purpose of our work is to give necessary clues to the researchers and designers in Human–Computer Interaction (HCI) in making the fusion between BCIs and HCI more fruitful but also to better understand the possibilities BCIs can provide to them. Frontiers Media S.A. 2017-07-31 /pmc/articles/PMC5535189/ /pubmed/28824400 http://dx.doi.org/10.3389/fnhum.2017.00396 Text en Copyright © 2017 Kosmyna and Lécuyer. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Kosmyna, Nataliya Lécuyer, Anatole Designing Guiding Systems for Brain-Computer Interfaces |
title | Designing Guiding Systems for Brain-Computer Interfaces |
title_full | Designing Guiding Systems for Brain-Computer Interfaces |
title_fullStr | Designing Guiding Systems for Brain-Computer Interfaces |
title_full_unstemmed | Designing Guiding Systems for Brain-Computer Interfaces |
title_short | Designing Guiding Systems for Brain-Computer Interfaces |
title_sort | designing guiding systems for brain-computer interfaces |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535189/ https://www.ncbi.nlm.nih.gov/pubmed/28824400 http://dx.doi.org/10.3389/fnhum.2017.00396 |
work_keys_str_mv | AT kosmynanataliya designingguidingsystemsforbraincomputerinterfaces AT lecuyeranatole designingguidingsystemsforbraincomputerinterfaces |