ArticleScience and engineering ethics2019
Critiquing the Concept of BCI Illiteracy.
Article in Science and engineering ethics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities.Frontiers in human neuroscience · 2022Pooled it
- EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review.Frontiers in human neuroscience · 2022Pooled it
- Effects of motor imagery based brain-computer interface on upper limb function and attention in stroke patients with hemiplegia: a randomized controlled trial.BMC neurology · 2023Trial
- Human learning of noninvasive brain-computer interfaces via manifold geometry.Nature neuroscience · 2026Article
- Rewiring Attention: Virtual Reality and Brain-Computer Interfaces in the Rehabilitation of Unilateral Spatial Neglect.Journal of clinical medicine · 2026Review
- Decoding preparatory movement state-based motor imagery with multi layer energy decoder.Journal of neuroengineering and rehabilitation · 2025Article
- An EEG-based Imagined Speech Database for comparing Paradigm Designs.Scientific data · 2025Article
- Quantifying and evaluating motor imagery ability using EEG microstates in MI-BCI training.Experimental brain research · 2025Article
- 5-year follow-up of a fully implanted brain-computer interface in a spinal cord injury patient.Journal of neural engineering · 2025Article
- RSVP keyboard with inquiry preview: mixed performance and user experience with an adaptive, multimodal typing interface combining EEG and switch input.Journal of neural engineering · 2025Article
- Imagining alternative futures with augmentative and alternative communication: a manifesto.Medical humanities · 2025Article
- Associations between pre-cue parietal alpha oscillations and event related desynchronization in motor imagery-based brain-computer interface.Frontiers in human neuroscience · 2025Article
- Toward Brain-Computer Interface motor rehabilitation for people with Multiple Sclerosis.Frontiers in medicine · 2025Article
- Amygdala self-neuromodulation capacity as a window for process-related network recruitment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Article
- Evaluating the Feasibility of Visual Imagery for an EEG-Based Brain-Computer Interface.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- The ethical significance of user-control in AI-driven speech-BCIs: a narrative review.Frontiers in human neuroscience · 2024Review
- Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces.Brain computer interfaces (Abingdon, England) · 2024Article
- Advancements in brain-computer interfaces for the rehabilitation of unilateral spatial neglect: a concise review.Frontiers in neuroscience · 2024Review
- Predicting Motor Imagery BCI Performance Based on EEG Microstate Analysis.Brain sciences · 2023Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
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30117107What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.