Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review

The competitive demand for attention is present in our daily lives, and the identification of neural processes in the EEG signals associated with the demand for specific attention can be useful to the individual’s interactions in virtual environments. Since EEG-based devices can be portable, non-inv...

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Autores principales:	Rhaíra Helena Caetano e Souza, Eduardo Lázaro Martins Naves
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	attentional orientation virtual reality cognitive workload fatigue EEG signal Physiology QP1-981
Acceso en línea:	https://doaj.org/article/e6f50ae884f248b3b570b97d57bf99c7
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id	oai:doaj.org-article:e6f50ae884f248b3b570b97d57bf99c7
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spelling	oai:doaj.org-article:e6f50ae884f248b3b570b97d57bf99c72021-11-30T14:09:23ZAttention Detection in Virtual Environments Using EEG Signals: A Scoping Review1664-042X10.3389/fphys.2021.727840https://doaj.org/article/e6f50ae884f248b3b570b97d57bf99c72021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fphys.2021.727840/fullhttps://doaj.org/toc/1664-042XThe competitive demand for attention is present in our daily lives, and the identification of neural processes in the EEG signals associated with the demand for specific attention can be useful to the individual’s interactions in virtual environments. Since EEG-based devices can be portable, non-invasive, and present high temporal resolution technology for recording neural signal, the interpretations of virtual systems user’s attention, fatigue and cognitive load based on parameters extracted from the EEG signal are relevant for several purposes, such as games, rehabilitation, and therapies. However, despite the large amount of studies on this subject, different methodological forms are highlighted and suggested in this work, relating virtual environments, demand of attention, workload and fatigue applications. In our summarization, we discuss controversies, current research gaps and future directions together with the background and final sections.Rhaíra Helena Caetano e SouzaRhaíra Helena Caetano e SouzaEduardo Lázaro Martins NavesFrontiers Media S.A.articleattentional orientationvirtual realitycognitive workloadfatigueEEG signalPhysiologyQP1-981ENFrontiers in Physiology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	attentional orientation virtual reality cognitive workload fatigue EEG signal Physiology QP1-981
spellingShingle	attentional orientation virtual reality cognitive workload fatigue EEG signal Physiology QP1-981 Rhaíra Helena Caetano e Souza Rhaíra Helena Caetano e Souza Eduardo Lázaro Martins Naves Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review
description	The competitive demand for attention is present in our daily lives, and the identification of neural processes in the EEG signals associated with the demand for specific attention can be useful to the individual’s interactions in virtual environments. Since EEG-based devices can be portable, non-invasive, and present high temporal resolution technology for recording neural signal, the interpretations of virtual systems user’s attention, fatigue and cognitive load based on parameters extracted from the EEG signal are relevant for several purposes, such as games, rehabilitation, and therapies. However, despite the large amount of studies on this subject, different methodological forms are highlighted and suggested in this work, relating virtual environments, demand of attention, workload and fatigue applications. In our summarization, we discuss controversies, current research gaps and future directions together with the background and final sections.
format	article
author	Rhaíra Helena Caetano e Souza Rhaíra Helena Caetano e Souza Eduardo Lázaro Martins Naves
author_facet	Rhaíra Helena Caetano e Souza Rhaíra Helena Caetano e Souza Eduardo Lázaro Martins Naves
author_sort	Rhaíra Helena Caetano e Souza
title	Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review
title_short	Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review
title_full	Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review
title_fullStr	Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review
title_full_unstemmed	Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review
title_sort	attention detection in virtual environments using eeg signals: a scoping review
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/e6f50ae884f248b3b570b97d57bf99c7
work_keys_str_mv	AT rhairahelenacaetanoesouza attentiondetectioninvirtualenvironmentsusingeegsignalsascopingreview AT rhairahelenacaetanoesouza attentiondetectioninvirtualenvironmentsusingeegsignalsascopingreview AT eduardolazaromartinsnaves attentiondetectioninvirtualenvironmentsusingeegsignalsascopingreview
_version_	1718406536623030272

Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review

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