Literature DB >> 30117107

Critiquing the Concept of BCI Illiteracy.

Margaret C Thompson1,2.   

Abstract

Brain-computer interfaces (BCIs) are a form of technology that read a user's neural signals to perform a task, often with the aim of inferring user intention. They demonstrate potential in a wide range of clinical, commercial, and personal applications. But BCIs are not always simple to operate, and even with training some BCI users do not operate their systems as intended. Many researchers have described this phenomenon as "BCI illiteracy," and a body of research has emerged aiming to characterize, predict, and solve this perceived problem. However, BCI illiteracy is an inadequate concept for explaining difficulty that users face in operating BCI systems. BCI illiteracy is a methodologically weak concept; furthermore, it relies on the flawed assumption that BCI users possess physiological or functional traits that prevent proficient performance during BCI use. Alternative concepts to BCI illiteracy may offer better outcomes for prospective users and may avoid the conceptual pitfalls that BCI illiteracy brings to the BCI research process.

Keywords:  BCI illiteracy; Brain–computer interface; Brain–machine interface; Research ethics; User-centered design

Mesh:

Year:  2018        PMID: 30117107     DOI: 10.1007/s11948-018-0061-1

Source DB:  PubMed          Journal:  Sci Eng Ethics        ISSN: 1353-3452            Impact factor:   3.525


  29 in total

1.  How many people are able to operate an EEG-based brain-computer interface (BCI)?

Authors:  C Guger; G Edlinger; W Harkam; I Niedermayer; G Pfurtscheller
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

Review 2.  Toward functioning and usable brain-computer interfaces (BCIs): a literature review.

Authors:  Emanuele Pasqualotto; Stefano Federici; Marta Olivetti Belardinelli
Journal:  Disabil Rehabil Assist Technol       Date:  2011-10-04

3.  Heading for new shores! Overcoming pitfalls in BCI design.

Authors:  Ricardo Chavarriaga; Melanie Fried-Oken; Sonja Kleih; Fabien Lotte; Reinhold Scherer
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-12-30

4.  A BCI System Based on Somatosensory Attentional Orientation.

Authors:  Lin Yao; Xinjun Sheng; Dingguo Zhang; Ning Jiang; Dario Farina; Xiangyang Zhu
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-05-24       Impact factor: 3.802

5.  Usability and Workload of Access Technology for People With Severe Motor Impairment: A Comparison of Brain-Computer Interfacing and Eye Tracking.

Authors:  Emanuele Pasqualotto; Tamara Matuz; Stefano Federici; Carolin A Ruf; Mathias Bartl; Marta Olivetti Belardinelli; Niels Birbaumer; Sebastian Halder
Journal:  Neurorehabil Neural Repair       Date:  2015-03-09       Impact factor: 3.919

6.  User-centered design in brain-computer interfaces-a case study.

Authors:  Martijn Schreuder; Angela Riccio; Monica Risetti; Sven Dähne; Andrew Ramsay; John Williamson; Donatella Mattia; Michael Tangermann
Journal:  Artif Intell Med       Date:  2013-09-13       Impact factor: 5.326

7.  Towards a cure for BCI illiteracy.

Authors:  Carmen Vidaurre; Benjamin Blankertz
Journal:  Brain Topogr       Date:  2009-11-28       Impact factor: 3.020

8.  Effects of user mental state on EEG-BCI performance.

Authors:  Andrew Myrden; Tom Chau
Journal:  Front Hum Neurosci       Date:  2015-06-02       Impact factor: 3.169

9.  The Role of the Interplay between Stimulus Type and Timing in Explaining BCI-Illiteracy for Visual P300-Based Brain-Computer Interfaces.

Authors:  Roberta Carabalona
Journal:  Front Neurosci       Date:  2017-06-30       Impact factor: 4.677

10.  High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery.

Authors:  Minkyu Ahn; Hohyun Cho; Sangtae Ahn; Sung Chan Jun
Journal:  PLoS One       Date:  2013-11-22       Impact factor: 3.240

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  19 in total

Review 1.  Human visual skills for brain-computer interface use: a tutorial.

Authors:  Melanie Fried-Oken; Michelle Kinsella; Betts Peters; Brandon Eddy; Bruce Wojciechowski
Journal:  Disabil Rehabil Assist Technol       Date:  2020-06-01

Review 2.  The science and engineering behind sensitized brain-controlled bionic hands.

Authors:  Chethan Pandarinath; Sliman J Bensmaia
Journal:  Physiol Rev       Date:  2021-09-20       Impact factor: 37.312

3.  Considering Augmentative and Alternative Communication Research for Brain-Computer Interface Practice.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Adrienne R Pitt
Journal:  Assist Technol Outcomes Benefits       Date:  2019

4.  Translational Neuroethics: A Vision for a More Integrated, Inclusive, and Impactful Field.

Authors:  Anna Wexler; Laura Specker Sullivan
Journal:  AJOB Neurosci       Date:  2021-12-01

5.  Evaluating person-centered factors associated with brain-computer interface access to a commercial augmentative and alternative communication paradigm.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Assist Technol       Date:  2021-03-05

6.  Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface.

Authors:  Qing Zhou; Ruidong Cheng; Lin Yao; Xiangming Ye; Kedi Xu
Journal:  Front Hum Neurosci       Date:  2022-04-08       Impact factor: 3.473

7.  EEG-Based Classification of Internally- and Externally-Directed Attention in an Augmented Reality Paradigm.

Authors:  Lisa-Marie Vortmann; Felix Kroll; Felix Putze
Journal:  Front Hum Neurosci       Date:  2019-10-09       Impact factor: 3.169

Review 8.  Mind the gap: State-of-the-art technologies and applications for EEG-based brain-computer interfaces.

Authors:  Roberto Portillo-Lara; Bogachan Tahirbegi; Christopher A R Chapman; Josef A Goding; Rylie A Green
Journal:  APL Bioeng       Date:  2021-07-20

Review 9.  Challenges and Opportunities for the Future of Brain-Computer Interface in Neurorehabilitation.

Authors:  Colin Simon; David A E Bolton; Niamh C Kennedy; Surjo R Soekadar; Kathy L Ruddy
Journal:  Front Neurosci       Date:  2021-07-02       Impact factor: 4.677

10.  A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity.

Authors:  Claudia Sannelli; Carmen Vidaurre; Klaus-Robert Müller; Benjamin Blankertz
Journal:  PLoS One       Date:  2019-01-25       Impact factor: 3.240

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