Literature DB >> 33401410

Effect of Distracting Background Speech in an Auditory Brain-Computer Interface.

Álvaro Fernández-Rodríguez1, Ricardo Ron-Angevin1, Ernesto J Sanz-Arigita2, Antoine Parize3, Juliette Esquirol3, Alban Perrier3, Simon Laur3, Jean-Marc André3, Véronique Lespinet-Najib3, Liliana Garcia3.   

Abstract

Studies so far have analyzed the effect of distractor stimuli in different types of brain-computer interface (BCI). However, the effect of a background speech has not been studied using an auditory event-related potential (ERP-BCI), a convenient option when the visual path cannot be adopted by users. Thus, the aim of the present work is to examine the impact of a background speech on selection performance and user workload in auditory BCI systems. Eleven participants tested three conditions: (i) auditory BCI control condition, (ii) auditory BCI with a background speech to ignore (non-attentional condition), and (iii) auditory BCI while the user has to pay attention to the background speech (attentional condition). The results demonstrated that, despite no significant differences in performance, shared attention to auditory BCI and background speech required a higher cognitive workload. In addition, the P300 target stimuli in the non-attentional condition were significantly higher than those in the attentional condition for several channels. The non-attentional condition was the only condition that showed significant differences in the amplitude of the P300 between target and non-target stimuli. The present study indicates that background speech, especially when it is attended to, is an important interference that should be avoided while using an auditory BCI.

Entities:  

Keywords:  auditory; brain–computer interface (BCI); distractor; event-related potential (ERP); workload

Year:  2021        PMID: 33401410      PMCID: PMC7823829          DOI: 10.3390/brainsci11010039

Source DB:  PubMed          Journal:  Brain Sci        ISSN: 2076-3425


  35 in total

1.  BCI2000: a general-purpose brain-computer interface (BCI) system.

Authors:  Gerwin Schalk; Dennis J McFarland; Thilo Hinterberger; Niels Birbaumer; Jonathan R Wolpaw
Journal:  IEEE Trans Biomed Eng       Date:  2004-06       Impact factor: 4.538

2.  Brain-computer interfacing based on cognitive control.

Authors:  Mariska J Vansteensel; Dora Hermes; Erik J Aarnoutse; Martin G Bleichner; Gerwin Schalk; Peter C van Rijen; Frans S S Leijten; Nick F Ramsey
Journal:  Ann Neurol       Date:  2010-06       Impact factor: 10.422

3.  Towards human BCI applications based on cognitive brain systems: an investigation of neural signals recorded from the dorsolateral prefrontal cortex.

Authors:  Nick F Ramsey; Martijn P van de Heuvel; Kuan H Kho; Frans S S Leijten
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2006-06       Impact factor: 3.802

Review 4.  Updating P300: an integrative theory of P3a and P3b.

Authors:  John Polich
Journal:  Clin Neurophysiol       Date:  2007-06-18       Impact factor: 3.708

5.  Time-varying networks of ERPs in P300-speller paradigms based on spatially and semantically congruent audiovisual bimodality.

Authors:  Zhaohua Lu; Qi Li; Ning Gao; Jingjing Yang
Journal:  J Neural Eng       Date:  2020-07-24       Impact factor: 5.379

Review 6.  Review of real brain-controlled wheelchairs.

Authors:  Á Fernández-Rodríguez; F Velasco-Álvarez; R Ron-Angevin
Journal:  J Neural Eng       Date:  2016-10-14       Impact factor: 5.379

7.  Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain-computer interface.

Authors:  Ivo Käthner; Selina C Wriessnegger; Gernot R Müller-Putz; Andrea Kübler; Sebastian Halder
Journal:  Biol Psychol       Date:  2014-08-01       Impact factor: 3.251

8.  30+ years of P300 brain-computer interfaces.

Authors:  Brendan Z Allison; Andrea Kübler; Jing Jin
Journal:  Psychophysiology       Date:  2020-04-17       Impact factor: 4.016

9.  A P300-based brain-computer interface: initial tests by ALS patients.

Authors:  Eric W Sellers; Emanuel Donchin
Journal:  Clin Neurophysiol       Date:  2006-02-07       Impact factor: 3.708

10.  Prediction of auditory and visual p300 brain-computer interface aptitude.

Authors:  Sebastian Halder; Eva Maria Hammer; Sonja Claudia Kleih; Martin Bogdan; Wolfgang Rosenstiel; Niels Birbaumer; Andrea Kübler
Journal:  PLoS One       Date:  2013-02-14       Impact factor: 3.240

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